| Title: | Risk Stratification of Patients with Atherosclerotic Cardiovascular Disease (ASCVD) |
| Lead Institution: | ETH Zurich |
| Principal investigator: | Professor Samia Mora |
Application 81959
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About
Patients with prior heart disease or stroke are at increased risk of having a repeat event, with approximately 1 in 5 patients experiencing or dying from repeat events. However, there is a range of risk for patients, and a clear need exists for identifying those who are at higher risk of events despite taking medication. We propose to apply new artificial intelligence methods to develop a free and publicly available computer program that will calculate each patient's long-term chance of having or dying from a repeat heart attack or stroke based on his or her individual risk profile.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 19263 | Development and Validation of Novel Residual Risk Scores for Patients With ASCVD | Olga Mineeva (+7) | 2025 | JACC Advances |
Enabling scientific discoveries that improve human health