Event Details:
Integration of Quantitative Imaging and Genetics for Precision Health
Anders Dale, PhD
Professor of Neurosciences
UC San Diego
Host: Brian Wandell
Abstract
The goal of the work to be presented is to enable quantitative non-invasive imaging of brain physiology and anatomy in health and disease, by combining imaging modalities and advanced analysis methods. This includes 1) Development of improved methods for structural and functional image acquisition and analysis in multi-site, longitudinal studies; 2) Development of improved methods for integration of imaging biomarkers and genetic information for individualized risk prediction; and 3) Translation of quantitative multimodal imaging, molecular biomarkers and genetics into clinical practice.
Related papers
[1] Desikan RS, Fan CC, Wang Y, Schork AJ, Cabral HJ, et al. (2017) Genetic assessment of age-associated Alzheimer disease risk: Development and validation of a polygenic hazard score. PLOS Medicine 14(3): e1002258. DOI: 10.1371/journal.pmed.1002258
[2] White NS, McDonald C, Farid N, Kuperman J, Karow D, Schenker-Ahmed NM, Bartsch H, Rakow-Penner R, Holland D, Shabaik A, Bjørnerud A, Hope T, Hattangadi-Gluth J, Liss M, Parsons JK, Chen CC, Raman S, Margolis D, Reiter RE, Marks L, Kesari S, Mundt AJ, Kane CJ, Carter BS, Bradley WG, Dale AM. Diffusion-Weighted Imaging in Cancer: Physical Foundations and Applications of Restriction Spectrum Imaging. Cancer Res September 1 2014 (74) (17) 4638-4652; DOI: 10.1158/0008-5472.CAN-13-3534