Johns Hopkins researchers recently received a $195,000 Rapid Response Research grant from the National Science Foundation to identify, through machine learning, which COVID-19 patients are at risk of ...

Routine eye scans could provide cost-effective screening for heart disease. Slomka is encouraged by other recent research investigating 18 F-NaF uptake as a predictor of disease progression and ...

A new Apple-backed AI model trained on Apple Watch behavioral data can now predict a wide range of health conditions more ...

New research uses machine learning to mine data from standard lung-cancer scans and predict patients most likely to have heart damage from radiation treatment later in life.

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors.. Researchers ...