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

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

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

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

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 ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

An AI algorithm based only on routine mammogram images plus age can predict a woman's risk of major cardiovascular disease as well as standard risk assessment methods, finds research published online ...

A Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

Using machine learning models, researchers have identified a potential way to diagnose amyotrophic lateral sclerosis earlier ...