Valtteri Kaasinen

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...

Epidemiological associations between neurodegeneration and cancer – time to refine our research approach

Cancer and neurodegenerative diseases are devastating aging-related disorders. Epidemiological data suggest a general inverse risk association between them, the mechanisms of which might provide new avenues for developing treatments and prevention strategies. In addition to this...

Pharmacological and non-pharmacological modulation of striatal dopamine release: a meta-analysis of [11C]raclopride PET studies

Abstract The dopaminergic system has long been a central focus of functional neuroimaging. Positron emission tomography (PET) with the D2/D3 receptor radioligand [ 11 C]raclopride remains the most widely used method for indirectly quantifying striatal dopamine release in vivo. Ho...