The research project “AI-based prediction and prevention of drug adverse effects by real world data: focus on anticoagulation (AI-PREDAE)” aims to identify risk factor profiles for major bleeding in anticoagulated patients using extensive real-world data and advanced feature selection techniques and to develop AI-based risk prediction model to support prevention of these adverse effects and safe prescribing in in clinical practice. By employing causal AI combined with a digital health twin approach and machine learning, our risk model has potential to surpass current clinical metrics, such as cumulative scores, which fail to account for cumulative effects of risk factors. This project promotes safer and optimized prescribing of anticoagulants. Our approach can also be applied to other classes of drugs.

2026

2030