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

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 ...

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 ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

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 ...

Mount Sinai scientists developed V2P, a powerful new AI tool that predicts how specific DNA mutations translate into disease, ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...