Medscape

Advanced Machine Learning Model Predicts Onset of Epilepsy and Depression

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Blood Test Screens Dogs for Multiple Diseases at Once, Peer-Reviewed Study Shows

LatusPet Limited, a University of Oxford biotech startup, today announced a first-of-its-kind scientific publication, titled "Application of NMR-Based Metabolomics and Machine Learning for ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
EurekAlert!

Machine learning ushers in a new era for advanced nuclear materials research

Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...