Biomarkers of Biological Brain Aging 2023–2027
Developing and validating biomarkers capable of robustly capturing age-related biological changes in the brain, combining structural MRI and PET-derived features for brain-age prediction, and comparing the clinical utility of publicly available brain-age software packages.
This is the PhD project of Ruben P. Dörfel ("Bridging neuroimaging and machine learning for aging biomarker discovery: Method development, validation and clinical application"), enrolled 20 November 2023 at the Neurobiology Research Unit, co-supervised with Anton Forsberg Morén, Pontus Plavén-Sigray and Jonas Svensson (Karolinska Institutet).
Selected publications
- Dörfel RP, Ozenne B, Ganz M, Svensson JE, Plavén-Sigray P. Prediction of brain age using structural magnetic resonance imaging: a comparison of clinical utility of publicly available software packages. EBioMedicine 123, 2026.
- Wegmann M, Ganz M, Svensson JE, Plavén-Sigray P, Dörfel RP. Machine Learning for Longitudinal Brain-Age Prediction. medRxiv, 2025.