Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing ECG patterns like language. The system ...
Perelman School of Medicine cardiologist Rajat Deo has been studying electrocardiographic (ECG) data and cardiac rhythms for ...
Pioneer, an AI retinal imaging framework that screened for six endocrine and metabolic diseases using color fundus ...
Lung transplant recipients require intensive, ongoing monitoring after transplant to detect complications such as rejection ...
A new machine learning tool called T1GRS accurately predicts the genetic risk of developing Type 1 diabetes in both children ...
8 min read | April 2026 showed us a toxic HTT fragment is center stage in mouse research, CRISPR is showing promise in mouse ...