Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

Enhancing Readability of Lay Abstracts and Summaries for Urologic Oncology Literature Using Generative Artificial Intelligence: BRIDGE-AI 6 Randomized Controlled Trial We trained and tested ML systems ...

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Using a form of machine learning called self-supervised learning, Mass General Brigham researchers have created a new predictive artificial intelligence model, which they say could help generate ...

illustrating the comprehensive zero-shot benchmark of 19 universal machine learning interatomic potentials and the dominant impact of training data composition for surface energy prediction. A ...

VivoSim’s NAMkind™ Intestinal Model combined with AI prediction tools yields high-accuracy results. SAN DIEGO, April 28, 2026 (GLOBE NEWSWIRE) -- VivoSim Labs, Inc. (Nasdaq: V ...