Chronic pain conditions, long-lasting medical conditions characterized by persistent pain in specific areas of the body, are ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

UC San Francisco scientists have found a way to predict Alzheimer's disease up to ... patient records with machine learning. The conditions that most influenced prediction of Alzheimer's were ...

57 We minimized these biases by conducting our study in a single-payer health care system and using validated disease ... prediction models, and including data on IBD treatment regimes. We ...

In a recent ACS Central Science study, scientists from the University of New South Wales (UNSW) discuss a machine learning ... accurate prediction models for disease diagnosis using large ...

While debate drags on about legislation, regulations, and other measures to improve the U.S. health care system, a new wave ... chronic illnesses — heart disease and diabetes — the United ...

More information: Lina Castano-Duque et al, Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models, Frontiers in Microbiology (2025).