Med AI Lab conducts cutting-edge research at the intersection of artificial intelligence, neuroimaging, and biomarker science to better understand and diagnose neurodegenerative diseases—primarily Alzheimer’s and Parkinson’s. Their work spans several core areas: developing non-invasive blood-based and imaging biomarkers, using AI to predict disease progression, studying sex-related differences in biomarker effectiveness, and identifying the role of vascular and glymphatic systems in early disease mechanisms. The lab also investigates overlapping pathologies, such as Lewy Body disease, and enhances diagnostic tools using advanced PET/MRI techniques and machine learning models. Overall, the lab’s interdisciplinary research aims to improve early detection, personalize clinical trials, and accelerate discoveries that lead to better patient outcomes in brain health.
Explore the research topics below to learn more about each project in detail.
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