Anne Paakinaho

Identifying drugs associated with Alzheimer's disease risk using machine learning-assisted signal detection

Background Several Alzheimer's disease (AD) clinical trials currently focus on drug repurposing. Machine learning (ML)-based pharmacoepidemiological approaches may help identify candidate drugs for trials. Objective We applied an ML-based signal detection method to identify drugs...

Toward the Use of Real‐World Data for Regulatory and HTA Decision‐Making: Experiences and Recommendations from Six EU ‐Funded Projects

Real-world data are increasingly important for regulatory and health technology assessment decision-making, yet their effective use across Europe remains limited by technical, methodological, regulatory, and societal challenges. Drawing on the experiences of six Horizon Europe pr...