Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...
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.
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
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 ...
According to the authors, incorporating a broad spectrum of biomarkers allows the models to reflect the continuous and ...
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 ...