Isaac has received the Young Investigator Award in Valvular Heart Disease at the European Society of Cardiology Congress (ESC 2024) for developing TAVI-ALPURA, an AI-based tool designed to predict long-term all-cause mortality and cardiovascular death following transcatheter aortic valve implantation (TAVI). Developed using a Swiss cohort and externally validated on a Japanese cohort, TAVI-ALPURA outperformed conventional risk scores for long-term outcome prediction and demonstrated strong generalizability across diverse populations. The name “TAVI-ALPURA” symbolizes its international collaboration, combining “ALP” (from the Swiss Alps) and “URA” (from Sakura, Japan’s cherry blossom), representing its Swiss and Japanese origins.

Link to software: https://ai-cvm.com/software/tavi-alpura