Multimodal AI for Cardiac Risks Prediction and Diagnosis

I am interested in collaborating on EU Horizon CLUSTER HEALTH consortia, focused on the development and validation of multimodal AI and foundation models for cardiac diseases and healthcare applications.

The core objective is to design scalable, generalizable AI models capable of learning from heterogeneous medical data, such as cardiac imaging (MRI, CT, echocardiography), clinical records, wearable and biosensor data, electrophysiological signals (ECG), and laboratory or omics data. These models may serve as foundation models that can be adapted to multiple downstream tasks, including risk prediction, disease stratification, treatment response modeling, and clinical decision support.