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Principal Investigator  
Principal Investigator's Name: Amit Frishberg
Institution: Helmholtz Zentrum München
Department: Institute of Computational Biology
Proposed Analysis: Alzheimer’s disease clinical course is highly heterogeneous across patients, displaying significant differences in the rate of progression. Current disease biomarkers are limited in accurately for inferring patients’ disease states or predict future disease progression rates. Assessing the individual projected long-term disease course at early stages is critical for improving clinical care and supporting research. Specifically, aligning disease severity range and its biological underpinning at the individual patient level is essential for applying a precision medicine approach in AD. However, deriving a holistic model of disease progression dynamics is challenging due to the large variability in disease courses across patients. Recently, we developed TimeAx, a first-of-its-kind approach for studying time-dependent biological processes at high resolution, taking biological processes dynamics from abstraction to a quantifiable, comparable measurement unit. We will train a TimeAx longitudinal model based on features generated from the patients’ brain MRI scans. We will extend the multivariate model towards a holistic TimeAx model by projecting the bio-specimen data on top of it, investigating the mechanisms driving these continuous dynamics, discovering novel markers of AD progression and paving the way for developing clinically useful tools for inferring patient-wise disease progression rates. Finally, we will look for associations of progression rates with the genetic information from the patients, pointing out genetic variants associated with rapid disease progression.
Additional Investigators