A new view
of prevention.

Extracting cardiovascular and cardiometabolic phenotypes from CT, CMR, echocardiography, and retinal imaging.

Connecting diagnoses, laboratory results, medications, and clinical text to understand health over time.

Understanding how air pollution, heat, greenspace, and neighborhood conditions shape cardiometabolic health.

Learning from ECG images, waveforms, and physiological signals to improve disease detection and prediction.

Identifying who may benefit from earlier assessment and more personalized preventive strategies.

Evaluating whether computational approaches can improve clinical decisions, health equity, and care delivery.