Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

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 ...

The Opioid Risk Tool for Opioid Use Disorder may help identify patients with chronic noncancer pain at increased risk for OUD ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

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 ...

Tu, H. and Huang, Y.Y. (2026) Progress in Quantitative Imaging Assessment of Dermatomyositis-Associated Interstitial Lung ...

What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...