Results 181 to 190 of about 2,919,066 (271)
A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve. [PDF]
Lin R, Chan KG, Shi H.
europepmc +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source
Evaluating the Efficacy of Longitudinal Coagulation Biomarkers to Predict in-Hospital Death in Comatose TBI Patients: A Time-Dependent Roc Curve Approach. [PDF]
Ebrahimi-Nejad F +5 more
europepmc +1 more source
A data‐driven strategy integrating quantum machine learning (QML) and high‐throughput computing overcomes hot‐cracking limitation to design a novel lightweight aluminum‐based entropy alloy for additive manufacturing. The fabrication transforms brittle intermetallics into deformable hierarchical nanostructures, yielding ultrastrong strength (>1 GPa) and
Enmao Wang +6 more
wiley +1 more source
Ready to ROC? A tutorial on simulation-based power analyses for null hypothesis significance, minimum-effect, and equivalence testing for ROC curve analyses. [PDF]
Riesthuis P, Otgaar H, Bücken C.
europepmc +1 more source
A semiconductor‐fabricated nanowell biosensor enables rapid, scalable, and highly reproducible detection of SARS‐CoV‐2 antigens from nasal swabs within ∼10 minutes. Clinical validation in 249 retrospective and 243 prospective patient samples demonstrates high sensitivity and specificity, minimal cross‐reactivity, and robust batch‐to‐batch ...
Yoo Min Park +11 more
wiley +1 more source
Performance of tests based on the area under the ROC curve for multireader diagnostic data. [PDF]
Hwang YT, Hsu YR, Su NC.
europepmc +1 more source
Optimizing area under the ROC curve using semi-supervised learning
Shijun Wang +5 more
semanticscholar +1 more source
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu +10 more
wiley +1 more source

