Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...

As machine learning models can predict premature death in the general population, researchers applied the technology to determine whether it could predict premature deaths among people in Ontario with ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.

Mount Sinai scientists developed V2P, a powerful new AI tool that predicts how specific DNA mutations translate into disease, unlocking faster diagnoses and new targets for therapy.

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.