Anna‐Maija Tolppanen

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...

The Incidence of Sensorineural Hearing Loss Diagnoses in People with and without Parkinson's Disease

Abstract Background Parkinson's disease (PD) and sensorineural hearing loss (SNHL) are both prevalent conditions among older adults. Although increasing number of studies have investigated SNHL as a risk factor for PD, it is not well known how diagnosed PD affects the likelihood...