Can Small Open-Source Language Models With Retrieval-Augmented Generation Match GPT-4 Performance in Breast Cancer Clinical Decision Support? Accurate classification of microsatellite instability (MSI ...

ML algorithms were trained using the earlier HRQoL assessment and clinical data to predict dichotomized impairments in QLQ-C30 domains at the later assessment between 2 weeks and 5 years ahead, ...

The persistent binary nature of amplification becomes clearer when contrasted with nucleic acid hybridization. The same thermodynamic principles that transformed hybridization from an all-or-none ...

Polygenic risk scores (PRSs) aggregate genetic information to estimate individual predisposition to a trait. While most PRSs model the phenotypic mean, patterns of variability can also be informative ...

Abstract: The growing use of Internet of Things (IoT) technologies has helped organizations to gather huge amounts of real-time information that has disrupted the operational decision-making systems.

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, ACT 2601, Australia School of Engineering and Technology, The ...

Whereas obesity is a common confounder when interpreting natriuretic peptide values, and the presence of atrial fibrillation has an important influence on pretest probability, other confounders are ...

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...