{"generated_at":"2026-10-10T14:00:35Z","total":8462,"page":0,"pages":85,"page_size":100,"next":"/api/catalog?topic=measurement-metrology&page=1","documents":[{"id":"pmc-13634839","title":"Prognostic performance of baseline serum immunoglobulin G in patients with metastatic renal cell carcinoma receiving first-line ICI–TKI therapy","year":2026,"authors":["Hongwei Wang","Xingang Bi","Tian Han"],"author_count":9,"journal":"Frontiers in Oncology","doi":"10.3389/fonc.2026.1928984","source":"pmc","topics":["measurement-metrology"],"keywords":["immunoglobulin G","immunotherapy","metastatic renal cell carcinoma","prognostic biomarker","targeted therapy"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634839","fulltext_endpoint":"/api/document/pmc-13634839/fulltext","references_endpoint":"/api/document/pmc-13634839/references"},{"id":"pmc-13638048","title":"Sub-consensus haploid variant calling in long-read sequencing technology","year":2026,"authors":["Xavier Zair","Andreas Wilm","Miles C. Benton"],"author_count":9,"journal":"PLOS One","doi":"10.1371/journal.pone.0356259","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13638048","fulltext_endpoint":"/api/document/pmc-13638048/fulltext","references_endpoint":"/api/document/pmc-13638048/references"},{"id":"pmc-13635974","title":"Correlates of Burnout Profiles in Chinese Nurses: A Network Analysis of Psychological and Occupational Factors","year":2026,"authors":["Dan Wang","Yuanyuan La","Wanyang Li"],"author_count":6,"journal":"Journal of Nursing Management","doi":"10.1155/jonm/6714188","source":"pmc","topics":["measurement-metrology"],"keywords":["burnout","latent class analysis","network analysis","occupational health","perceived stress","resilience"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635974","fulltext_endpoint":"/api/document/pmc-13635974/fulltext","references_endpoint":"/api/document/pmc-13635974/references"},{"id":"pmc-13637786","title":"Development and validation of a nomogram for peritoneal dialysis-associated peritonitis","year":2026,"authors":["Zhiwu Tian","Shuang Zhou","Biwen Tian"],"author_count":5,"journal":"Renal Failure","doi":"10.1080/0886022x.2026.2724570","source":"pmc","topics":["measurement-metrology"],"keywords":["Peritoneal dialysis","Peritoneal dialysis-associated peritonitis","nomogram","prediction model","survival analysis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13637786","fulltext_endpoint":"/api/document/pmc-13637786/fulltext","references_endpoint":"/api/document/pmc-13637786/references"},{"id":"pmc-13638039","title":"PEtab Select: Specification standard and supporting software for automated model selection","year":2026,"authors":["Dilan Pathirana","Frank T. Bergmann","Domagoj Doresic"],"author_count":13,"journal":"PLOS Computational Biology","doi":"10.1371/journal.pcbi.1014774","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13638039","fulltext_endpoint":"/api/document/pmc-13638039/fulltext","references_endpoint":"/api/document/pmc-13638039/references"},{"id":"pmc-13635920","title":"Protocol for quantification of fungal biomass in fungal composite materials based on ergosterol extraction","year":2026,"authors":["Carsten Freidank-Pohl","Antonia Geyer","Ulla Simon"],"author_count":3,"journal":"STAR Protocols","doi":"10.1016/j.xpro.2026.104858","source":"pmc","topics":["measurement-metrology","materials-science"],"keywords":["Metabolism","Microbiology","Biotechnology and bioengineering"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635920","fulltext_endpoint":"/api/document/pmc-13635920/fulltext","references_endpoint":"/api/document/pmc-13635920/references"},{"id":"pmc-13637341","title":"A nomogram to predict early spontaneous abortion in women with polycystic ovary syndrome: a retrospective cohort study","year":2026,"authors":["Qian Han","Mengyuan Li","Guanshan Li"],"author_count":6,"journal":"BMC Pregnancy and Childbirth","doi":"10.1186/s12884-026-09641-w","source":"pmc","topics":["measurement-metrology"],"keywords":["Polycystic ovary syndrome","Early spontaneous abortion","Nomogram","Prediction model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13637341","fulltext_endpoint":"/api/document/pmc-13637341/fulltext","references_endpoint":"/api/document/pmc-13637341/references"},{"id":"pmc-13636643","title":"Mechanistic deconvolution of BSA size variants by constrained Raman pseudo‐Voigt hard modeling during anion‐exchange chromatography","year":2026,"authors":["Jakob Heyer‐Müller","Robin Schiemer","Lars Robbel"],"author_count":5,"journal":"Biotechnology Progress","doi":"10.1002/btpr.88534","source":"pmc","topics":["measurement-metrology"],"keywords":["aggregation","chemometrics","chromatography","process analytical technology","Raman spectroscopy","spectral hard modeling"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636643","fulltext_endpoint":"/api/document/pmc-13636643/fulltext","references_endpoint":"/api/document/pmc-13636643/references"},{"id":"pmc-13636185","title":"Enhancing the reliability of skin tone evaluation: A study of full‐face imaging devices with colour calibration","year":2026,"authors":["Wenyang Wang","Yang Wang","Chanjuan Liu"],"author_count":5,"journal":"International Journal of Cosmetic Science","doi":"10.1111/ics.70090","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636185","fulltext_endpoint":"/api/document/pmc-13636185/fulltext","references_endpoint":"/api/document/pmc-13636185/references"},{"id":"pmc-13635132","title":"Development and external validation of an interpretable deep learning model for early immune-related adverse events in hepatocellular carcinoma","year":2026,"authors":["Hongming Pan","Chunyan Zhao","Hao Sun"],"author_count":7,"journal":"Frontiers in Immunology","doi":"10.3389/fimmu.2026.1886946","source":"pmc","topics":["measurement-metrology"],"keywords":["hepatocellular carcinoma","immune checkpoint inhibitors","immune-related adverse events","interpretable deep learning","risk prediction"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635132","fulltext_endpoint":"/api/document/pmc-13635132/fulltext","references_endpoint":"/api/document/pmc-13635132/references"},{"id":"pmc-13635194","title":"Prediction models for refractory Mycoplasma pneumoniae pneumonia and corticosteroid treatment escalation in hospitalized children: a retrospective cohort study","year":2026,"authors":["Yueqian Li","Yinan Shen","Xiao Shi"],"author_count":6,"journal":"Frontiers in Pediatrics","doi":"10.3389/fped.2026.1913556","source":"pmc","topics":["measurement-metrology"],"keywords":["children","corticosteroid escalation","glucocorticoid","Mycoplasma pneumoniae pneumonia","refractory MPP"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635194","fulltext_endpoint":"/api/document/pmc-13635194/fulltext","references_endpoint":"/api/document/pmc-13635194/references"},{"id":"pmc-13635708","title":"Modelo de Asignación Diagnóstica y Terapéutica (MADiT; diagnostic and therapeutic assignment model): Clinical classification and 1-year mortality among older adults admitted to an acute geriatric unit: A prospective cohort study","year":2026,"authors":["Christian Alvarado","Enric Duaso","Isabel Prado"],"author_count":5,"journal":"JAR Life","doi":"10.1016/j.jarlif.2026.100086","source":"pmc","topics":["measurement-metrology"],"keywords":["Frailty","Mortality","Geriatrics","Multimorbidity","Risk stratification","Hospitalization"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635708","fulltext_endpoint":"/api/document/pmc-13635708/fulltext","references_endpoint":"/api/document/pmc-13635708/references"},{"id":"pmc-13634765","title":"Experimental data from an open-source DC motor control educational kit for calibration, system identification, and controller validation","year":2026,"authors":["Alejandro Von Chong","Dorindo Cárdenas"],"author_count":2,"journal":"Data in Brief","doi":"10.1016/j.dib.2026.113274","source":"pmc","topics":["measurement-metrology"],"keywords":["System identification","Embedded firmware","PID tuning","Sampled systems"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634765","fulltext_endpoint":"/api/document/pmc-13634765/fulltext","references_endpoint":"/api/document/pmc-13634765/references"},{"id":"pmc-13635321","title":"Development and external validation of a three-stage model to predict live birth after fresh IVF/ICSI embryo transfer","year":2026,"authors":["Haoxuan Guo","Yanhui Liu","Juncheng Tong"],"author_count":13,"journal":"Frontiers in Endocrinology","doi":"10.3389/fendo.2026.1916182","source":"pmc","topics":["measurement-metrology"],"keywords":["external validation","IVF (ICSI)","live birth","machine learning","predictive model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635321","fulltext_endpoint":"/api/document/pmc-13635321/fulltext","references_endpoint":"/api/document/pmc-13635321/references"},{"id":"pmc-13636036","title":"Development of a neutron texture analysis reduction pipeline in Mantid","year":2026,"authors":["Andy Bridger","Winfried Kockelmann","Joe Kelleher"],"author_count":7,"journal":"Journal of Applied Crystallography","doi":"10.1107/s1600576726007661","source":"pmc","topics":["measurement-metrology"],"keywords":["neutron texture analysis","engineering diffraction","data reduction","Mantid"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636036","fulltext_endpoint":"/api/document/pmc-13636036/fulltext","references_endpoint":"/api/document/pmc-13636036/references"},{"id":"pmc-13634868","title":"Development and validation of a predictive model for sarcopenia in patients with type 2 diabetes based on the synergistic mechanism of insulin resistance and inflammation","year":2026,"authors":["Ajinisha Akeaji","Baihetinisha Akeaji","Yihe Han"],"author_count":4,"journal":"Frontiers in Physiology","doi":"10.3389/fphys.2026.1922889","source":"pmc","topics":["measurement-metrology"],"keywords":["type 2 diabetes mellitus","sarcopenia","machine learning","insulin resistance","inflammatory marker"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634868","fulltext_endpoint":"/api/document/pmc-13634868/fulltext","references_endpoint":"/api/document/pmc-13634868/references"},{"id":"pmc-13636045","title":"Angle-dependent X-ray absorption correction in small- and wide-angle X-ray scattering: accounting for constrained scattering volume, beam profiles and capillary wall attenuation","year":2026,"authors":["Jure Kovač","Andrej Jamnik","István Szilágyi"],"author_count":4,"journal":"Journal of Applied Crystallography","doi":"10.1107/s1600576726006837","source":"pmc","topics":["measurement-metrology"],"keywords":["transmission correction coefficients","X-ray absorption correction","fluorinated liquids","Kratky cameras","absolute scaling","wide-angle X-ray scattering","WAXS","small-angle X-ray scattering"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636045","fulltext_endpoint":"/api/document/pmc-13636045/fulltext","references_endpoint":"/api/document/pmc-13636045/references"},{"id":"pmc-13635888","title":"Radiomics and deep learning for immune checkpoint inhibitor outcomes: imaging-derived immune phenotyping and clinical translation across solid tumors","year":2026,"authors":["Hangyu Wu","Jing Chen"],"author_count":2,"journal":"Frontiers in Immunology","doi":"10.3389/fimmu.2026.1931388","source":"pmc","topics":["measurement-metrology"],"keywords":["clinical translation","deep learning","immune checkpoint inhibitors","immune phenotyping","longitudinal imaging","medical imaging","radiomics","tumor microenvironment"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635888","fulltext_endpoint":"/api/document/pmc-13635888/fulltext","references_endpoint":"/api/document/pmc-13635888/references"},{"id":"pmc-13635987","title":"An integrated prognostic model incorporating clinical characteristics, multiparametric MRI radiomics, deep learning features, and intratumoral heterogeneity for glioma patients","year":2026,"authors":["Yanru Yang","Keqi Su","Kaiqiang Tang"],"author_count":4,"journal":"Frontiers in Oncology","doi":"10.3389/fonc.2026.1873715","source":"pmc","topics":["measurement-metrology"],"keywords":["deep learning","glioma","intratumoral heterogeneity","multiparametric MRI","prognostic prediction","radiomics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635987","fulltext_endpoint":"/api/document/pmc-13635987/fulltext","references_endpoint":"/api/document/pmc-13635987/references"},{"id":"pmc-13636216","title":"Mechanical‐medical convergence in heart failure: Artificial intelligence, finite‐element modeling, and 3D printing for diagnosis and prognosis","year":2026,"authors":["Quazi Noor E Sabrina","Quazi Md Zobaer Shah","Quazi Noor E Sohela"],"author_count":6,"journal":"Bioengineering & Translational Medicine","doi":"10.1002/btm2.70156","source":"pmc","topics":["measurement-metrology"],"keywords":["3D printing/additive manufacturing","artificial intelligence (AI)/machine learning","digital twin","finite‐element modeling","heart failure (HF)","precision cardiology","ventricular remodeling"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636216","fulltext_endpoint":"/api/document/pmc-13636216/fulltext","references_endpoint":"/api/document/pmc-13636216/references"},{"id":"pmc-13637877","title":"Parametric finite element modeling and pose-dependent natural characteristics of a five-axis machine tool","year":2026,"authors":["Jiamin Zhang","Jiahui Zhang","Ning Lü"],"author_count":4,"journal":"PLOS One","doi":"10.1371/journal.pone.0359727","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13637877","fulltext_endpoint":"/api/document/pmc-13637877/fulltext","references_endpoint":"/api/document/pmc-13637877/references"},{"id":"pmc-13638190","title":"Shared molecular mechanisms between colorectal cancer and cardiovascular disease drive perioperative neurological vulnerability","year":2026,"authors":["Ling Jiang","Mingqian Yang","Yan Yang"],"author_count":5,"journal":"Frontiers in Genetics","doi":"10.3389/fgene.2026.1902646","source":"pmc","topics":["measurement-metrology"],"keywords":["cardio-oncology","cardiovascular disease","colorectal cancer","frailty","immune dysregulation","metabolic reprogramming","multi-omics","neuroinflammation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13638190","fulltext_endpoint":"/api/document/pmc-13638190/fulltext","references_endpoint":"/api/document/pmc-13638190/references"},{"id":"pmc-13634461","title":"Validation and comparison of two prearrest prediction scores for in-hospital cardiac arrest survival","year":2026,"authors":["Hritul Karim","Eva Piscator","Gabriel Riva"],"author_count":6,"journal":"Resuscitation Plus","doi":"10.1016/j.resplu.2026.101493","source":"pmc","topics":["measurement-metrology"],"keywords":["Prediction model","Risk score","DNR","DNAR","Withhold Life-Sustaining Treatment (WLST)","Decision-aid","Decision tool"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634461","fulltext_endpoint":"/api/document/pmc-13634461/fulltext","references_endpoint":"/api/document/pmc-13634461/references"},{"id":"pmc-13634573","title":"Suppressing Photothermal Artifacts in Flexible Fluorescent Fiber‐Optic Sensors for Accurate and Precise In Situ Temperature Monitoring","year":2026,"authors":["Sijie Su","Jinjian Yu","Pengyuan Dong"],"author_count":8,"journal":"Advanced Science","doi":"10.1002/advs.78130","source":"pmc","topics":["measurement-metrology","materials-science"],"keywords":["fiber‐optic sensor","fluorescent thermometry","in situ detection","photothermal effect","precision temperature sensing"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634573","fulltext_endpoint":"/api/document/pmc-13634573/fulltext","references_endpoint":"/api/document/pmc-13634573/references"},{"id":"pmc-13633918","title":"Remnant cholesterol inflammatory index for predicting pathological complete response to neoadjuvant therapy in breast cancer: A multicenter external validation study","year":2026,"authors":["Galip Can Uyar","Kadriye Başkurt","Ahmet Oruç"],"author_count":11,"journal":"The Breast : Official Journal of the European Society of Mastology","doi":"10.1016/j.breast.2026.104936","source":"pmc","topics":["measurement-metrology"],"keywords":["Breast cancer","Neoadjuvant therapy","Pathological complete response","Remnant cholesterol inflammatory index","Tumor subtype"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633918","fulltext_endpoint":"/api/document/pmc-13633918/fulltext","references_endpoint":"/api/document/pmc-13633918/references"},{"id":"pmc-13634517","title":"Integrating artificial intelligence into venous thromboembolism care: Predictive models, implementation challenges, and future directions","year":2026,"authors":["Oscar Moreno","Ruoliu Zhang","Andrew Huang"],"author_count":11,"journal":"Journal of Vascular Surgery: Venous and Lymphatic Disorders","doi":"10.1016/j.jvsv.2026.102608","source":"pmc","topics":["measurement-metrology"],"keywords":["Artificial intelligence","Venous thromboembolism","Machine learning","Risk of bias","External validation","Agentic AI"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13634517","fulltext_endpoint":"/api/document/pmc-13634517/fulltext","references_endpoint":"/api/document/pmc-13634517/references"},{"id":"pmc-13633688","title":"Synthesis of molecular data on Mactroidea (Bivalvia): phylogenetic implications and open questions","year":2026,"authors":["Ava Ghezelayagh","Stewart M. Edie","Katie S. Collins"],"author_count":5,"journal":"PeerJ","doi":"10.7717/peerj.21681","source":"pmc","topics":["measurement-metrology"],"keywords":["Mollusca","Phylogeny","Paleontology","Biogeography","Budding cladogenesis","Systematics","Trough shells","Duck clams"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633688","fulltext_endpoint":"/api/document/pmc-13633688/fulltext","references_endpoint":"/api/document/pmc-13633688/references"},{"id":"pmc-13633172","title":"Disease severity as the dominant clinic-available marker of myasthenic crisis occurrence: a single-centre retrospective study","year":2026,"authors":["Robert Mîndreanu","Irina Matei","Teodora Stan"],"author_count":10,"journal":"Neurological Sciences","doi":"10.1007/s10072-026-09448-9","source":"pmc","topics":["measurement-metrology"],"keywords":["Myasthenia gravis","MGFA classification","Mechanical ventilation","Respiratory failure","Outpatient follow-up","Clinical correlates"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633172","fulltext_endpoint":"/api/document/pmc-13633172/fulltext","references_endpoint":"/api/document/pmc-13633172/references"},{"id":"pmc-13633371","title":"Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning model","year":2026,"authors":["Jose Martin-Arevalo","Andreia Guimaraes","Irina Palomo-Lopez"],"author_count":12,"journal":"Surgical Endoscopy","doi":"10.1007/s00464-026-13163-z","source":"pmc","topics":["measurement-metrology"],"keywords":["Anastomotic leakage","Machine learning","Colorectal surgery","C-reactive protein","SIRI","Temporal validation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633371","fulltext_endpoint":"/api/document/pmc-13633371/fulltext","references_endpoint":"/api/document/pmc-13633371/references"},{"id":"pmc-13633159","title":"Image quality and lesion detectability in simulated [124I]MIBG cardiac imaging across 3-generation PET/CT scanners using a phantom model: Implications for activity and acquisition time reduction in clinical practice","year":2026,"authors":["Foroud Aghapour Zangeneh","Konstantinos Zeimpekis","Silvano Gnesin"],"author_count":9,"journal":"European Journal of Nuclear Medicine and Molecular Imaging","doi":"10.1007/s00259-026-08065-0","source":"pmc","topics":["measurement-metrology"],"keywords":["124I-MIBG PET/CT","Analog PET","SAFOV PET","LAFOV PET","Cardiac sympathetic imaging"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633159","fulltext_endpoint":"/api/document/pmc-13633159/fulltext","references_endpoint":"/api/document/pmc-13633159/references"},{"id":"pmc-13632607","title":"External validation of the KLIC score and development of a novel prediction model for debridement, antibiotics, and implant retention failure in prosthetic joint infection: a multicentre cohort study","year":2026,"authors":["Giulia Zumbo","Iris Martínez-Alemany","Jose Maria Bravo-Ferrer"],"author_count":14,"journal":"Journal of Bone and Joint Infection","doi":"10.5194/jbji-11-591-2026","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632607","fulltext_endpoint":"/api/document/pmc-13632607/fulltext","references_endpoint":"/api/document/pmc-13632607/references"},{"id":"pmc-13631400","title":"Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention","year":2026,"authors":["Fujin Jia","Xinzhu Li","Hui Song"],"author_count":7,"journal":"Frontiers in Bioengineering and Biotechnology","doi":"10.3389/fbioe.2026.1948186","source":"pmc","topics":["measurement-metrology"],"keywords":["artificial intelligence","closed-loop intervention","digital biomarkers","edge computing","multimodal sensor fusion","personalized rehabilitation","real-time biofeedback","wearable biosensors"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631400","fulltext_endpoint":"/api/document/pmc-13631400/fulltext","references_endpoint":"/api/document/pmc-13631400/references"},{"id":"pmc-13631055","title":"Emergent flow theory: autonomic coherence as a gain parameter for the temporal architecture of conscious integration","year":2026,"authors":["Alfredo López Parra"],"author_count":1,"journal":"Frontiers in Integrative Neuroscience","doi":"10.3389/fnint.2026.1841714","source":"pmc","topics":["measurement-metrology"],"keywords":["autonomic coherence","consciousness","emergent flow theory","heart rate variability","locus coeruleus","Perturbational Complexity Index","salience network","temporal architecture"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631055","fulltext_endpoint":"/api/document/pmc-13631055/fulltext","references_endpoint":"/api/document/pmc-13631055/references"},{"id":"pmc-13631044","title":"A subject-specific mechanistic model of affect links electroencephalography, cardiorespiratory feedback, and monoaminergic dynamics","year":2026,"authors":["Masami Iwamoto"],"author_count":1,"journal":"Frontiers in Computational Neuroscience","doi":"10.3389/fncom.2026.1875657","source":"pmc","topics":["measurement-metrology"],"keywords":["affect modeling","cardiorespiratory dynamics","computational neuroscience","electroencephalography","monoaminergic systems"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631044","fulltext_endpoint":"/api/document/pmc-13631044/fulltext","references_endpoint":"/api/document/pmc-13631044/references"},{"id":"pmc-13630954","title":"Development and validation of machine learning models for predicting rehabilitation non-response after knee arthroplasty","year":2026,"authors":["Niclas J. Hubel","Ferdinand Prüfer","Walter Bily"],"author_count":7,"journal":"Frontiers in Rehabilitation Sciences","doi":"10.3389/fresc.2026.1930836","source":"pmc","topics":["measurement-metrology"],"keywords":["arthroplasty","AutoML","health-related quality of life","minimal clinically importance difference","patient-reported outcomes","replacement knee"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630954","fulltext_endpoint":"/api/document/pmc-13630954/fulltext","references_endpoint":"/api/document/pmc-13630954/references"},{"id":"pmc-13632483","title":"GENESIS-SHIELD: an interpretable ensemble for anomaly detection in CRISPR genomic-workflow security","year":2026,"authors":["Prabakaran C.","Kannadasan R."],"author_count":2,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1893433","source":"pmc","topics":["measurement-metrology"],"keywords":["attention mechanism","blockchain integrity","CRISPR anomaly detection","ensemble learning","ethics-aware systems","genomic security","interpretable AI","temporal anomaly detection"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632483","fulltext_endpoint":"/api/document/pmc-13632483/fulltext","references_endpoint":"/api/document/pmc-13632483/references"},{"id":"pmc-13631014","title":"Machine learning-based early prediction of severe pneumonia risk in hospitalized leukemia patients: a dual-center retrospective cohort study","year":2026,"authors":["Jian Huang","Qinliang Wu","Yixin Zhang"],"author_count":8,"journal":"Frontiers in Cell and Developmental Biology","doi":"10.3389/fcell.2026.1943797","source":"pmc","topics":["measurement-metrology"],"keywords":["external validation","leukemia","machine learning","nomogram","prediction model","severe pneumonia","SMOTE"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631014","fulltext_endpoint":"/api/document/pmc-13631014/fulltext","references_endpoint":"/api/document/pmc-13631014/references"},{"id":"pmc-13630933","title":"Application of type 2 inflammation-related biomarkers in risk prediction models for acute exacerbations in adult asthma: a systematic review","year":2026,"authors":["Minghao Li","Zihan Yan","Minghang Wang"],"author_count":3,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1900214","source":"pmc","topics":["measurement-metrology"],"keywords":["acute exacerbation","asthma","blood eosinophils","FeNO","IgE","prediction model","systematic review","type 2 inflammation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630933","fulltext_endpoint":"/api/document/pmc-13630933/fulltext","references_endpoint":"/api/document/pmc-13630933/references"},{"id":"pmc-13630744","title":"Noninvasive immune-inflammatory profiling by ultrasound radiomics for preoperative prediction of central lymph node metastasis in papillary thyroid carcinoma","year":2026,"authors":["Meng Sun","Jiening Gao","Qian Sui"],"author_count":6,"journal":"Frontiers in Immunology","doi":"10.3389/fimmu.2026.1912827","source":"pmc","topics":["measurement-metrology"],"keywords":["central lymph node metastasis","cross-scale immune corroboration","immune-inflammatory indices","papillary thyroid carcinoma","ultrasound radiomics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630744","fulltext_endpoint":"/api/document/pmc-13630744/fulltext","references_endpoint":"/api/document/pmc-13630744/references"},{"id":"pmc-13630729","title":"Photobiomodulation for skeletal muscle regeneration: mechanisms, dosimetry, and translational challenges","year":2026,"authors":["Ryan Ahmed","Kevin L. Zhang","Rabab Hamzah"],"author_count":5,"journal":"Frontiers in Bioengineering and Biotechnology","doi":"10.3389/fbioe.2026.1921612","source":"pmc","topics":["measurement-metrology"],"keywords":["artificial intelligence","cytochrome c oxidase","dosimetry","light transport","low-level laser therapy","mitochondria","Monte Carlo simulation","muscle regeneration"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630729","fulltext_endpoint":"/api/document/pmc-13630729/fulltext","references_endpoint":"/api/document/pmc-13630729/references"},{"id":"pmc-13630737","title":"Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news","year":2026,"authors":["Nishan Chatterjee","Boshko Koloski","Antoine Doucet"],"author_count":5,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1844418","source":"pmc","topics":["measurement-metrology"],"keywords":["aspect-based sentiment analysis","benchmark","large language models","learning-to-defer","media monitoring","South Slavic languages","targeted sentiment analysis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630737","fulltext_endpoint":"/api/document/pmc-13630737/fulltext","references_endpoint":"/api/document/pmc-13630737/references"},{"id":"pmc-13630700","title":"A non-invasive nomogram for high-risk esophageal varices in cirrhosis without transient elastography: development and internal validation","year":2026,"authors":["Yi Wu","Junyang Luo","Shuixian Yang"],"author_count":12,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1946799","source":"pmc","topics":["measurement-metrology"],"keywords":["high-risk esophageal varices","liver cirrhosis","nomogram","non-invasive model","portal hypertension"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630700","fulltext_endpoint":"/api/document/pmc-13630700/fulltext","references_endpoint":"/api/document/pmc-13630700/references"},{"id":"pmc-13630692","title":"Development and web-based implementation of a machine learning model for predicting one-year adverse outcomes in acute ischaemic stroke","year":2026,"authors":["ChunYu Meng","FeiFei Zuo","Shuai Liu"],"author_count":5,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1956859","source":"pmc","topics":["measurement-metrology"],"keywords":["acute ischaemic stroke","machine learning","prognostic prediction","risk stratification model","SHAP interpretability analysis","web-based assessment tool"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630692","fulltext_endpoint":"/api/document/pmc-13630692/fulltext","references_endpoint":"/api/document/pmc-13630692/references"},{"id":"pmc-13630677","title":"Interpretable admission-stage machine learning for early Sepsis-3 identification in the emergency department","year":2026,"authors":["Fulden Cantaş Türkiş","Buğra Varol"],"author_count":2,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1929426","source":"pmc","topics":["measurement-metrology"],"keywords":["clinical classification model","clinical decision support","emergency department","explainable artificial intelligence","interpretable machine learning","sepsis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630677","fulltext_endpoint":"/api/document/pmc-13630677/fulltext","references_endpoint":"/api/document/pmc-13630677/references"},{"id":"pmc-13630604","title":"A novel method based on ultrasound radiomics for predicting attainment of near-adult height in adolescents","year":2026,"authors":["Yixuan Zhang","Zeqing Zhao","Yuxin Sun"],"author_count":9,"journal":"Frontiers in Endocrinology","doi":"10.3389/fendo.2026.1925196","source":"pmc","topics":["measurement-metrology"],"keywords":["adolescent growth assessment","machine learning","near-adult height","predictive model","ultrasound radiomics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630604","fulltext_endpoint":"/api/document/pmc-13630604/fulltext","references_endpoint":"/api/document/pmc-13630604/references"},{"id":"pmc-13630615","title":"A prediction model based on the prognostic nutritional index for grade 2 or higher radiation-induced oral mucositis in patients with nasopharyngeal carcinoma","year":2026,"authors":["Deyue Jiang","Ruohan Wang","Jin Lu"],"author_count":5,"journal":"Frontiers in Oncology","doi":"10.3389/fonc.2026.1951437","source":"pmc","topics":["measurement-metrology"],"keywords":["machine learning","nasopharyngeal carcinoma","prediction model","prognostic nutritional index","radiation-induced oral mucositis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630615","fulltext_endpoint":"/api/document/pmc-13630615/fulltext","references_endpoint":"/api/document/pmc-13630615/references"},{"id":"pmc-13631416","title":"Machine learning-based prediction of postoperative venous thromboembolism in orthopedic surgery using the MIMIC-IV database and external validation","year":2026,"authors":["Genfa Wu","Gengjiao Cai","Gang Wu"],"author_count":5,"journal":"Frontiers in Surgery","doi":"10.3389/fsurg.2026.1884949","source":"pmc","topics":["measurement-metrology"],"keywords":["D-dimer","machine learning","MIMIC-IV database","orthopedic surgery","venous thromboembolism"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631416","fulltext_endpoint":"/api/document/pmc-13631416/fulltext","references_endpoint":"/api/document/pmc-13631416/references"},{"id":"pmc-13630628","title":"Radiomic model versus R.E.N.A.L. nephrometry score for predicting the likelihood of undergoing partial nephrectomy in clear cell renal cell carcinoma","year":2026,"authors":["Fa-de Liu","Hui-li Yu","Du-jian Wang"],"author_count":5,"journal":"Frontiers in Urology","doi":"10.3389/fruro.2026.1928982","source":"pmc","topics":["measurement-metrology"],"keywords":["carcinoma","machine learning","nephrectomy","nephrometry score","radiomics","renal cell","tomography"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630628","fulltext_endpoint":"/api/document/pmc-13630628/fulltext","references_endpoint":"/api/document/pmc-13630628/references"},{"id":"pmc-13630648","title":"Construction and multi-center validation of a model based on blending ensemble learning for predicting stroke-associated pneumonia following acute ischemic stroke","year":2026,"authors":["Xinying Liu","Qiang Fu","Shuo Yang"],"author_count":11,"journal":"Frontiers in Neurology","doi":"10.3389/fneur.2026.1841730","source":"pmc","topics":["measurement-metrology"],"keywords":["acute ischemic stroke","blending ensemble learning","machine learning","risk stratification","stroke-associated pneumonia"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630648","fulltext_endpoint":"/api/document/pmc-13630648/fulltext","references_endpoint":"/api/document/pmc-13630648/references"},{"id":"pmc-13633018","title":"Elucidation of key lactylation- and palmitoylation-related genes and their related mechanisms in the development of neuropathic pain","year":2026,"authors":["Honglin Yan","Lei Li","Jing Li"],"author_count":5,"journal":"Medicine","doi":"10.1097/md.0000000000050651","source":"pmc","topics":["measurement-metrology"],"keywords":["biomarkers","immune infiltration","lactylation","neuropathic pain","NOD-like receptor signaling","palmitoylation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633018","fulltext_endpoint":"/api/document/pmc-13633018/fulltext","references_endpoint":"/api/document/pmc-13633018/references"},{"id":"pmc-13632735","title":"Re-evaluating molecular clock maximum age calibrations revives pre-Ediacaran divergence estimates for animals","year":2026,"authors":["Orin M. Lole Durbin","Eliel S.C. Anttila","Derek E.G. Briggs"],"author_count":5,"journal":"Science Advances","doi":"10.1126/sciadv.aeg6289","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632735","fulltext_endpoint":"/api/document/pmc-13632735/fulltext","references_endpoint":"/api/document/pmc-13632735/references"},{"id":"pmc-13631120","title":"The Calibration of a Failure","year":2026,"authors":["Jason Miguel Bean"],"author_count":1,"journal":"Journal of General Internal Medicine","doi":"10.1007/s11606-026-10636-8","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631120","fulltext_endpoint":"/api/document/pmc-13631120/fulltext","references_endpoint":null},{"id":"pmc-13631688","title":"A multicentre evaluation of cardiovascular risk prediction tools in people living with HIV across England (ECARTH study)","year":2026,"authors":["Ming Jie Lee","Ashley Murray","Colette Smith"],"author_count":24,"journal":"HIV Medicine","doi":"10.1111/hiv.70282","source":"pmc","topics":["measurement-metrology"],"keywords":["cardiovascular disease","heart disease risk factors","HIV","myocardial Ischaemia","stroke"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631688","fulltext_endpoint":"/api/document/pmc-13631688/fulltext","references_endpoint":"/api/document/pmc-13631688/references"},{"id":"pmc-13632445","title":"Multi-regional radiomics based on planning CT and information complementarity between GTVp and GTVn: an explainable model for predicting 5-year recurrence risk in HPV-positive oropharyngeal cancer","year":2026,"authors":["Chunsheng Wang","Mingjun Ding","Xiang Cao"],"author_count":9,"journal":"Radiation Oncology (London, England)","doi":"10.1186/s13014-026-02889-8","source":"pmc","topics":["measurement-metrology"],"keywords":["Oropharyngeal cancer","Human papillomavirus (HPV)","Radiomics","Explainable model","Recurrence"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632445","fulltext_endpoint":"/api/document/pmc-13632445/fulltext","references_endpoint":"/api/document/pmc-13632445/references"},{"id":"pmc-13629720","title":"Predictive performance of blood urea nitrogen, cystatin C, and their ratio for in-hospital mortality in sepsis: a Chinese two-center analysis","year":2026,"authors":["Zhitao Zhong","Zhihua Xie","Shihao Liu"],"author_count":10,"journal":"Open Medicine","doi":"10.1515/med-2026-1522","source":"pmc","topics":["measurement-metrology"],"keywords":["sepsis","blood urea nitrogen","cystatin C","blood urea nitrogen-cystatin c ratio","prognosis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629720","fulltext_endpoint":"/api/document/pmc-13629720/fulltext","references_endpoint":"/api/document/pmc-13629720/references"},{"id":"pmc-13629345","title":"Dataset of ADCP-derived current profiles and sea level in Buli Bay, East Halmahera, Indonesia","year":2026,"authors":["Suliskania Nurfitri","Mohammad Adli Daffa Amrullah","Rima Rachmayani"],"author_count":3,"journal":"Data in Brief","doi":"10.1016/j.dib.2026.113266","source":"pmc","topics":["measurement-metrology"],"keywords":["Buli Bay","Acoustic Doppler Current Profiler (ADCP)","Tidal currents","Hydrodynamic"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629345","fulltext_endpoint":"/api/document/pmc-13629345/fulltext","references_endpoint":"/api/document/pmc-13629345/references"},{"id":"pmc-13628503","title":"Multi-cohort machine learning identifies a ferroptosis-linked prognostic signature in lung adenocarcinoma","year":2026,"authors":["Rana Salihoglu"],"author_count":1,"journal":"Frontiers in Bioinformatics","doi":"10.3389/fbinf.2026.1921468","source":"pmc","topics":["measurement-metrology"],"keywords":["external validation","ferroptosis","lung adenocarcinoma","machine learning","survival learning","transcriptomic signature"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628503","fulltext_endpoint":"/api/document/pmc-13628503/fulltext","references_endpoint":"/api/document/pmc-13628503/references"},{"id":"pmc-13628183","title":"Machine Learning Models for Early Autism Spectrum Disorder Detection: Systematic Review With a Pediatric and Engineering Perspective","year":2026,"authors":["Chrisphine Onyango","Lispah N Wanjiku","Calvince Oketch"],"author_count":3,"journal":"Cureus","doi":"10.7759/cureus.115572","source":"pmc","topics":["measurement-metrology"],"keywords":["artificial intelligence","autism screening","autism spectrum disorder","clinical translation","deep learning","early detection","explainable ai","machine learning"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628183","fulltext_endpoint":"/api/document/pmc-13628183/fulltext","references_endpoint":"/api/document/pmc-13628183/references"},{"id":"pmc-13627369","title":"Calibrated, cost-sensitive, explainable ensemble learning for customer churn prediction in retail banking: a leakage-safe pipeline and single-dataset case study","year":2026,"authors":["Farhana Karim","Md. Ishtiaque Alam","Aram Lalafaryan"],"author_count":8,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1889639","source":"pmc","topics":["measurement-metrology"],"keywords":["CatBoost","cost-sensitive learning","customer churn prediction","ensemble learning","explainability","imbalanced learning","LightGBM","retail banking"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627369","fulltext_endpoint":"/api/document/pmc-13627369/fulltext","references_endpoint":"/api/document/pmc-13627369/references"},{"id":"pmc-13627039","title":"Surgery-related factors associated with early postoperative kinesiophobia in geriatric hip fracture patients: a risk stratification model","year":2026,"authors":["Peijia Jing","Han-chi Liu","Jia-luo Cai"],"author_count":5,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1876658","source":"pmc","topics":["measurement-metrology"],"keywords":["hip fracture","influencing factors","kinesiophobia","risk stratification model","surgical predictors"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627039","fulltext_endpoint":"/api/document/pmc-13627039/fulltext","references_endpoint":"/api/document/pmc-13627039/references"},{"id":"pmc-13627374","title":"From surveillance to intelligence: a scoping review of machine learning for antimicrobial resistance surveillance intelligence across One Health","year":2026,"authors":["Syed Arman Rabbani","Mohamed El-Tanani","Ismail I. Matalka"],"author_count":6,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1922265","source":"pmc","topics":["measurement-metrology"],"keywords":["antimicrobial resistance","artificial intelligence","early warning","forecasting","genomic surveillance","machine learning","One Health","public health decision support"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627374","fulltext_endpoint":"/api/document/pmc-13627374/fulltext","references_endpoint":"/api/document/pmc-13627374/references"},{"id":"pmc-13627059","title":"Visual search advantages in tactical decision-making of male soccer players: evidence from 3V2 and 3V3 scenarios","year":2026,"authors":["Yang Zhao","Shunding Hu","Peng Shi"],"author_count":4,"journal":"Frontiers in Psychology","doi":"10.3389/fpsyg.2026.1931011","source":"pmc","topics":["measurement-metrology"],"keywords":["decision making","eye movement","offensive tactics","soccer","visual search"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627059","fulltext_endpoint":"/api/document/pmc-13627059/fulltext","references_endpoint":"/api/document/pmc-13627059/references"},{"id":"pmc-13627010","title":"Development and internal validation of a nomogram for predicting lymph node metastasis posterior to the right recurrent laryngeal nerve in papillary thyroid carcinoma: a single-center retrospective study","year":2026,"authors":["Qiran Lu","Luxin Wei","Lifeng Zhang"],"author_count":3,"journal":"Frontiers in Endocrinology","doi":"10.3389/fendo.2026.1953516","source":"pmc","topics":["measurement-metrology"],"keywords":["central lymph node metastasis","decision curve analysis","lateral lymph node metastasis","LNprRLN","lymph nodes posterior to the right recurrent laryngeal nerve","nomogram","papillary thyroid carcinoma","risk prediction"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627010","fulltext_endpoint":"/api/document/pmc-13627010/fulltext","references_endpoint":"/api/document/pmc-13627010/references"},{"id":"pmc-13626897","title":"Development and validation of a LASSO-selected machine learning prediction pipeline for predicting coronary artery calcification in a health check-up population","year":2026,"authors":["Luyu Li","Na Guo","Yuqiang Zuo"],"author_count":5,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1910240","source":"pmc","topics":["measurement-metrology"],"keywords":["coronary artery calcification","decision curve analysis","health check-up","LASSO","machine learning","SHAP"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13626897","fulltext_endpoint":"/api/document/pmc-13626897/fulltext","references_endpoint":"/api/document/pmc-13626897/references"},{"id":"pmc-13627032","title":"Preoperative MRI features and clinical factors for predicting early recurrence of hepatocellular carcinoma after hepatectomy","year":2026,"authors":["Quanyou Miao","Chaofeng Yang","Ling Yang"],"author_count":8,"journal":"Frontiers in Oncology","doi":"10.3389/fonc.2026.1939820","source":"pmc","topics":["measurement-metrology"],"keywords":["early recurrence","hepatectomy","hepatocellular carcinoma","magnetic resonance imaging","prediction model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627032","fulltext_endpoint":"/api/document/pmc-13627032/fulltext","references_endpoint":"/api/document/pmc-13627032/references"},{"id":"pmc-13627042","title":"The pan-immune-inflammation value predicts stroke-associated pneumonia and poor outcome in spontaneous intracerebral hemorrhage: a machine learning approach","year":2026,"authors":["Anni Chen","Jiahui Wang","Qiaoying Huang"],"author_count":6,"journal":"Frontiers in Neurology","doi":"10.3389/fneur.2026.1906754","source":"pmc","topics":["measurement-metrology"],"keywords":["cerebral hemorrhage","machine learning","pan-immune-inflammation value","stroke","stroke-associated pneumonia"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627042","fulltext_endpoint":"/api/document/pmc-13627042/fulltext","references_endpoint":"/api/document/pmc-13627042/references"},{"id":"pmc-13630319","title":"Near-optimal P300 speller performance using large language models: A multi-model analysis with performance bounds","year":2026,"authors":["Nithin Parthasarathy","James Soetedjo","Saarang Panchavati"],"author_count":8,"journal":"PLOS One","doi":"10.1371/journal.pone.0349281","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630319","fulltext_endpoint":"/api/document/pmc-13630319/fulltext","references_endpoint":"/api/document/pmc-13630319/references"},{"id":"pmc-13630197","title":"Predicting COVID-19 infection among older Syrian refugees in Lebanon: A multi-wave survey","year":2026,"authors":["Berthe Abi Zeid","Tanya El Khoury","Sawsan Abdulrahim"],"author_count":5,"journal":"PLOS One","doi":"10.1371/journal.pone.0359272","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630197","fulltext_endpoint":"/api/document/pmc-13630197/fulltext","references_endpoint":"/api/document/pmc-13630197/references"},{"id":"pmc-13630200","title":"STREAM: A data-driven framework for physiological state monitoring in ICU patients","year":2026,"authors":["Ali Namvar","Sundaresh Ram","Wassim W. Labaki"],"author_count":6,"journal":"PLOS Digital Health","doi":"10.1371/journal.pdig.0001753","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630200","fulltext_endpoint":"/api/document/pmc-13630200/fulltext","references_endpoint":"/api/document/pmc-13630200/references"},{"id":"pmc-13630263","title":"Disease-first public-data integration with local virtual knockout prioritizes shared proteins linking osteoarthritis and osteoporosis","year":2026,"authors":["Jiayin Pang","Yu Li","Zhichao Qi"],"author_count":4,"journal":"PLOS One","doi":"10.1371/journal.pone.0359583","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630263","fulltext_endpoint":"/api/document/pmc-13630263/fulltext","references_endpoint":"/api/document/pmc-13630263/references"},{"id":"pmc-13630199","title":"Predictors of mortality available at emergency department arrival in massively transfused trauma patients without severe TBI: A single-center retrospective cohort study","year":2026,"authors":["Younggoun Jo","Yunchul Park","Euisung Jeong"],"author_count":5,"journal":"PLOS One","doi":"10.1371/journal.pone.0359963","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630199","fulltext_endpoint":"/api/document/pmc-13630199/fulltext","references_endpoint":"/api/document/pmc-13630199/references"},{"id":"pmc-13628446","title":"Calibration of Priors for Bayesian Model‐Based Dose‐Finding Trial Designs With Joint Outcomes","year":2026,"authors":["Emily Alger","Shing M. Lee","Ying Kuen K. Cheung"],"author_count":4,"journal":"Statistics in Medicine","doi":"10.1002/sim.70746","source":"pmc","topics":["measurement-metrology"],"keywords":["Continual Reassessment Method","dose‐finding trials","joint outcomes","Phase I","prior calibration","priors"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628446","fulltext_endpoint":"/api/document/pmc-13628446/fulltext","references_endpoint":"/api/document/pmc-13628446/references"},{"id":"pmc-13626861","title":"A technology‐specific risk analysis of surface guided radiation therapy","year":2026,"authors":["Victoria Bry","Angelia Tran","Tamara Egan"],"author_count":5,"journal":"Journal of Applied Clinical Medical Physics","doi":"10.1002/acm2.70837","source":"pmc","topics":["measurement-metrology"],"keywords":["FMEA","safety and quality","SGRT","surface imaging"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13626861","fulltext_endpoint":"/api/document/pmc-13626861/fulltext","references_endpoint":"/api/document/pmc-13626861/references"},{"id":"pmc-13627536","title":"Accuracy of iodinated contrast and saline delivery using a piston-driven and a peristaltic power injector in CT—an in vitro study","year":2026,"authors":["Zahra Alyani Nezhad","Aria M. Salyapongse","Courtney J. Goetsch"],"author_count":9,"journal":"European Radiology Experimental","doi":"10.1186/s41747-026-00785-0","source":"pmc","topics":["measurement-metrology"],"keywords":["Accuracy","CT power injectors","Iodinated contrast media","Piston-based","Peristaltic-based"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627536","fulltext_endpoint":"/api/document/pmc-13627536/fulltext","references_endpoint":"/api/document/pmc-13627536/references"},{"id":"pmc-13629762","title":"Identification and validation of a chronic kidney disease prediction model after radical nephrectomy: a multicenter cohort retrospective study","year":2026,"authors":["Xinning Wang","Tianwei Zhang","Jingxian Wang"],"author_count":18,"journal":"Annals of Medicine","doi":"10.1080/07853890.2026.2737504","source":"pmc","topics":["measurement-metrology"],"keywords":["Renal cell carcinoma","radical nephrectomy","chronic kidney disease","machine learning","multicenter study","retrospective study"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629762","fulltext_endpoint":"/api/document/pmc-13629762/fulltext","references_endpoint":"/api/document/pmc-13629762/references"},{"id":"pmc-13629901","title":"External validation and refinement of the Psychosis Polyrisk Score to detect individuals at clinical high risk for psychosis","year":2026,"authors":["Riccardo Stefanelli","Dominic Oliver","Stefano Damiani"],"author_count":71,"journal":"BMJ Mental Health","doi":"10.1136/bmjment-2026-302838","source":"pmc","topics":["measurement-metrology"],"keywords":["Psychiatry","Schizophrenia Spectrum and Other Psychotic Disorders","Behavioral Medicine"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629901","fulltext_endpoint":"/api/document/pmc-13629901/fulltext","references_endpoint":"/api/document/pmc-13629901/references"},{"id":"pmc-13629980","title":"Development of a clinical prediction model using volatile organic compounds as breath biomarkers in squamous oesophageal neoplasms: ViSON, protocol for a multicentre case–control study in UK NHS hospitals","year":2026,"authors":["Sameera Sharma","James Murray","Aaron Parker"],"author_count":37,"journal":"BMJ Open","doi":"10.1136/bmjopen-2025-112493","source":"pmc","topics":["measurement-metrology"],"keywords":["Early Detection of Cancer","SURGERY","Gastrointestinal tumours","Oesophageal disease","Case-Control Studies"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629980","fulltext_endpoint":"/api/document/pmc-13629980/fulltext","references_endpoint":"/api/document/pmc-13629980/references"},{"id":"pmc-13551558","title":"Cross-docking and redocking reveal distinct determinants of success in physics-based and AI-driven binding pose prediction in protein–ligand complexes","year":2026,"authors":["Kapali Suri","Anshul Yadav","Abhishek Tripathi"],"author_count":4,"journal":"RSC Advances","doi":"10.1039/d6ra05440d","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-3.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13551558","fulltext_endpoint":"/api/document/pmc-13551558/fulltext","references_endpoint":"/api/document/pmc-13551558/references"},{"id":"pmc-13630288","title":"Evaluating large-scale propensity score adjustment when sample size is small","year":2026,"authors":["Fleur Vereijken","Jenna M Reps","Marc A Suchard"],"author_count":8,"journal":"Journal of the American Medical Informatics Association: JAMIA","doi":"10.1093/jamia/ocag133","source":"pmc","topics":["measurement-metrology"],"keywords":["Confounding adjustment","Propensity score","distributed data network","small sample size","real-world data"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630288","fulltext_endpoint":"/api/document/pmc-13630288/fulltext","references_endpoint":"/api/document/pmc-13630288/references"},{"id":"pmc-13628736","title":"Predictive value of the C-reactive protein–triglyceride–glucose index for late atrial fibrillation recurrence after radiofrequency catheter ablation: a retrospective cohort study","year":2026,"authors":["Su-Yuan He","Ming-Hu Zhao","Yuan Qin"],"author_count":4,"journal":"BMC Cardiovascular Disorders","doi":"10.1186/s12872-026-06238-1","source":"pmc","topics":["measurement-metrology"],"keywords":["Atrial fibrillation","CTI","Late recurrence","Radiofrequency catheter ablation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628736","fulltext_endpoint":"/api/document/pmc-13628736/fulltext","references_endpoint":"/api/document/pmc-13628736/references"},{"id":"pmc-13629052","title":"Association of frailty-risk indicators with cardiovascular diseases: evidence from the CHARLS","year":2026,"authors":["Fangfang Zhuo","Zhao’ xing Cao","Zhipeng Pu"],"author_count":5,"journal":"BMC Cardiovascular Disorders","doi":"10.1186/s12872-026-06213-w","source":"pmc","topics":["measurement-metrology"],"keywords":["China Health and Retirement Longitudinal Study (CHARLS)","Frailty risk factors","Handgrip strength/weight","Cystatin C","Cardiovascular diseases"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629052","fulltext_endpoint":"/api/document/pmc-13629052/fulltext","references_endpoint":"/api/document/pmc-13629052/references"},{"id":"pmc-13629587","title":"Hyperemesis gravidarum and oral health: A scoping review","year":2026,"authors":["Niamh Coffey","Lucy James","Angela C. Flynn"],"author_count":5,"journal":"International Journal of Gynaecology and Obstetrics","doi":"10.1002/ijgo.70958","source":"pmc","topics":["measurement-metrology"],"keywords":["dental erosion","hyperemesis gravidarum","oral health","pregnancy complications"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629587","fulltext_endpoint":"/api/document/pmc-13629587/fulltext","references_endpoint":"/api/document/pmc-13629587/references"},{"id":"pmc-13629187","title":"Community medical centers struggle to produce well-calibrated clinical prediction models: Data augmentation can help","year":2026,"authors":["Katherine E. Brown","Bradley A. Malin","Sharon E. Davis"],"author_count":3,"journal":"Journal of biomedical informatics","doi":"10.1016/j.jbi.2026.105012","source":"pmc","topics":["measurement-metrology"],"keywords":["Machine learning","Synthetic data generation","Clinical prediction models","Community healthcare","68T99","68U99"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13629187","fulltext_endpoint":"/api/document/pmc-13629187/fulltext","references_endpoint":"/api/document/pmc-13629187/references"},{"id":"pmc-13624498","title":"Surveillance-Driven Machine Learning for Prediction of Antimicrobial Susceptibility: An Explainable Modeling Framework using the Pfizer ATLAS Dataset (2004 - 2023)","year":2026,"authors":["Raphael Mutua","David Gichohi","Samuel K. Ndegwa"],"author_count":6,"journal":"Wellcome Open Research","doi":"10.12688/wellcomeopenres.26477.2","source":"pmc","topics":["measurement-metrology"],"keywords":["Antimicrobial Resistance","Machine Learning","AMR Surveillance","Predictive Modelling","Antimicrobial Susceptibility"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624498","fulltext_endpoint":"/api/document/pmc-13624498/fulltext","references_endpoint":"/api/document/pmc-13624498/references"},{"id":"pmc-13626726","title":"Artificial Intelligence in Predicting Postoperative Nausea and Vomiting Among Surgical Patients Following General Anesthesia: A Systematic Review","year":2026,"authors":["Vendhan Ramanujam","Samyr Carneiro","Kumaran Ramanujam"],"author_count":6,"journal":"Cureus","doi":"10.7759/cureus.115542","source":"pmc","topics":["measurement-metrology"],"keywords":["artificial intelligence","general anesthesia","machine learning","perioperative outcomes","risk prediction"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13626726","fulltext_endpoint":"/api/document/pmc-13626726/fulltext","references_endpoint":"/api/document/pmc-13626726/references"},{"id":"pmc-13625009","title":"Evaluating the validity and performance of a modifiable prediction model to predict new long-term opioid use in prescription drug monitoring programs","year":2026,"authors":["Iraklis Erik Tseregounis","Eugene Shin","Stephen G Henry"],"author_count":4,"journal":"JAMIA Open","doi":"10.1093/jamiaopen/ooag192","source":"pmc","topics":["measurement-metrology"],"keywords":["clinical decision support","prescription drug monitoring programs","opioid prescribing","long-term use","external validation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13625009","fulltext_endpoint":"/api/document/pmc-13625009/fulltext","references_endpoint":"/api/document/pmc-13625009/references"},{"id":"pmc-13624955","title":"AI Caretaker: An Intelligent Voice-Activated Support System for Dementia Care","year":2026,"authors":["Aryan Dhingra","Charissa M Nichols"],"author_count":2,"journal":"Cureus","doi":"10.7759/cureus.115149","source":"pmc","topics":["measurement-metrology"],"keywords":["artificial intelligence","assistive technology","dementia care","natural language processing","python","voice recognition"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624955","fulltext_endpoint":"/api/document/pmc-13624955/fulltext","references_endpoint":"/api/document/pmc-13624955/references"},{"id":"pmc-13625021","title":"Discovery of unobservable parameters via physical embedding","year":2026,"authors":["Le Cheng","Xiaoran Liu","Lingjin Kong"],"author_count":10,"journal":"National Science Review","doi":"10.1093/nsr/nwag508","source":"pmc","topics":["measurement-metrology"],"keywords":["inverse problems","non-identifiability","differentiable physics","wireless communications","MRI"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13625021","fulltext_endpoint":"/api/document/pmc-13625021/fulltext","references_endpoint":"/api/document/pmc-13625021/references"},{"id":"pmc-13624557","title":"Time-updated Prediction of Discharge Functional Independence in Patients with Stroke and Low Functional Independence Measure in a Convalescent Rehabilitation Ward: Comparison between Admission and 3-week Models","year":2026,"authors":["Koichi IKEUE","Keisuke FUNABIKI","Yuya NAKATANI"],"author_count":3,"journal":"Physical Therapy Research","doi":"10.1298/ptr.25-e10391","source":"pmc","topics":["measurement-metrology"],"keywords":["Patients with stroke and low Functional Independence Measure at admission","Convalescent rehabilitation ward","Time-updated prediction","Prediction model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624557","fulltext_endpoint":"/api/document/pmc-13624557/fulltext","references_endpoint":"/api/document/pmc-13624557/references"},{"id":"pmc-13624135","title":"Identification of correlative factors and development of a preliminary classification model for delirium superimposed on dementia: a cross-sectional study","year":2026,"authors":["Simin Liu","Yu Xu"],"author_count":2,"journal":"Frontiers in Psychiatry","doi":"10.3389/fpsyt.2026.1889440","source":"pmc","topics":["measurement-metrology"],"keywords":["classification model","correlative factors","cross-sectional study","delirium","dementia"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624135","fulltext_endpoint":"/api/document/pmc-13624135/fulltext","references_endpoint":"/api/document/pmc-13624135/references"},{"id":"pmc-13624095","title":"Unlocking microbiology revision: MicrobEscape Room as a playful, team-based active learning activity for undergraduate students","year":2026,"authors":["Isabel Murillo","Emma Steveson","Laura Wright"],"author_count":4,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1894195","source":"pmc","topics":["measurement-metrology"],"keywords":["active learning","educational escape room","game","higher education","microbiology","revision"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624095","fulltext_endpoint":"/api/document/pmc-13624095/fulltext","references_endpoint":"/api/document/pmc-13624095/references"},{"id":"pmc-13623732","title":"Preoperative differentiation of spinal tuberculosis, pyogenic, and brucellar spondylitis: a multimodal machine learning study across five centers","year":2026,"authors":["Xingyu Duan","Linan Wang","Yichao Fan"],"author_count":9,"journal":"Frontiers in Cellular and Infection Microbiology","doi":"10.3389/fcimb.2026.1925786","source":"pmc","topics":["measurement-metrology"],"keywords":["explainable artificial intelligence","external validation","infectious spondylitis","machine learning","multimodal fusion"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623732","fulltext_endpoint":"/api/document/pmc-13623732/fulltext","references_endpoint":"/api/document/pmc-13623732/references"},{"id":"pmc-13623723","title":"A radiomics–deep learning nomogram integrating intratumoral and peritumoral DCE-MRI features for pCR prediction in breast cancer","year":2026,"authors":["Yiru Wang","Haibo Wang","Jian Cui"],"author_count":3,"journal":"Frontiers in Oncology","doi":"10.3389/fonc.2026.1830219","source":"pmc","topics":["measurement-metrology"],"keywords":["breast cancer","deep learning","intratumoral","machine learning","neoadjuvant systemic therapy","pathological complete response","peritumoral","radiomics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623723","fulltext_endpoint":"/api/document/pmc-13623723/fulltext","references_endpoint":"/api/document/pmc-13623723/references"},{"id":"pmc-13623738","title":"Development and validation of a disability risk prediction model in readmitted recurrent stroke patients","year":2026,"authors":["Linghui Kong","Peng Jiang","Jing Wang"],"author_count":5,"journal":"Frontiers in Neurology","doi":"10.3389/fneur.2026.1890175","source":"pmc","topics":["measurement-metrology"],"keywords":["disability","nomogram","recurrent readmission","risk prediction","stroke"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623738","fulltext_endpoint":"/api/document/pmc-13623738/fulltext","references_endpoint":"/api/document/pmc-13623738/references"},{"id":"pmc-13623725","title":"Development and internal validation of a preliminary model for Helicobacter pylori infection: a cross-sectional study","year":2026,"authors":["Zihao Shen","Xixi Yu","Mingcheng Liu"],"author_count":9,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1882621","source":"pmc","topics":["measurement-metrology"],"keywords":["calibration curves","decision curve analysis","Helicobacter pylori","internal validation","prediction model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623725","fulltext_endpoint":"/api/document/pmc-13623725/fulltext","references_endpoint":"/api/document/pmc-13623725/references"},{"id":"pmc-13623693","title":"An explainable machine learning approach to predicting carbapenem resistance in Klebsiella pneumoniae with imbalanced data and resistance-ratio validation","year":2026,"authors":["Lili Geng","Yan He","Guangfei Yang"],"author_count":6,"journal":"Frontiers in Cellular and Infection Microbiology","doi":"10.3389/fcimb.2026.1906306","source":"pmc","topics":["measurement-metrology"],"keywords":["carbapenem-resistant Klebsiella pneumoniae","data imbalance","drug resistance","electronic health records","Klebsiella pneumoniae","machine learning","Shapley Additive Explanations (SHAP)"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623693","fulltext_endpoint":"/api/document/pmc-13623693/fulltext","references_endpoint":"/api/document/pmc-13623693/references"},{"id":"pmc-13623685","title":"Inflammation, coagulation, and nutritional reserves refine 90-day prognostic stratification after ruptured intracranial aneurysm repair","year":2026,"authors":["Jian Li","Zhen Wang","Hongwen Li"],"author_count":4,"journal":"Frontiers in Nutrition","doi":"10.3389/fnut.2026.1918951","source":"pmc","topics":["measurement-metrology"],"keywords":["aneurysmal subarachnoid hemorrhage","d-dimer","neurological recovery","prognostic nutritional index","retrospective study","ruptured intracranial aneurysm","systemic immune-inflammation index"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623685","fulltext_endpoint":"/api/document/pmc-13623685/fulltext","references_endpoint":"/api/document/pmc-13623685/references"},{"id":"pmc-13625019","title":"Rethinking input complexity in transformer-based clinical prediction: implications for feature dimensionality and sequence length in longitudinal electronic health record data","year":2026,"authors":["Wansu Chen","Botao Zhou","Robert S Zeiger"],"author_count":9,"journal":"JAMIA Open","doi":"10.1093/jamiaopen/ooag193","source":"pmc","topics":["measurement-metrology"],"keywords":["deep learning","dimensionality reduction","feature selection","longitudinal modeling","risk stratification","computational efficiency"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13625019","fulltext_endpoint":"/api/document/pmc-13625019/fulltext","references_endpoint":"/api/document/pmc-13625019/references"},{"id":"pmc-13623607","title":"Association between lactate dehydrogenase-to-albumin ratio and short-term mortality in critically ill patients with urosepsis: evidence from dual retrospective cohorts","year":2026,"authors":["Guangyou Yang","Kunyuan Huang","Haoming Luo"],"author_count":4,"journal":"Frontiers in Cellular and Infection Microbiology","doi":"10.3389/fcimb.2026.1891664","source":"pmc","topics":["measurement-metrology"],"keywords":["lactate dehydrogenase-to-albumin ratio","retrospective cohort study","risk prediction model","short-term mortality","urosepsis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623607","fulltext_endpoint":"/api/document/pmc-13623607/fulltext","references_endpoint":"/api/document/pmc-13623607/references"},{"id":"pmc-13624909","title":"Bio-Inspired Artificial Intelligence Multimorbidity Score for Human–Machine Clinical Risk Stratification","year":2026,"authors":["Jinghao Liang","Ying Liu","Wei Wang"],"author_count":32,"journal":"Cyborg and Bionic Systems","doi":"10.34133/cbsystems.0691","source":"pmc","topics":["measurement-metrology"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13624909","fulltext_endpoint":"/api/document/pmc-13624909/fulltext","references_endpoint":"/api/document/pmc-13624909/references"}]}