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.

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 ...

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

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 ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...

What if doctors could look at a person’s DNA and not only spot a harmful mutation, but also predict the kind of disease it may cause—before symptoms fully appear? Scientists at the Icahn School of ...

In short, getting active after a heart diagnosis is not just about making a personal choice. It’s influenced by the brain, ...

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 ...