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Abstract:

INTEGRATION OF MULTI-MODAL BRAIN IMAGING AND MULTI-OMICS FOR PRECISION MEDICINE

Recent years have witnessed the convergence of multiscale and multimodal brain imaging and omics techniques, showing great promise for systematic and precision medicine. In the meantime, they also bring significant data analysis challenges when integrating and mining these large volumes of heterogeneous datasets. In this talk, firstly I will give an overview on the combination of multi-modal brain imaging and omics for precision medicine. Secondly, I will present our latest developments of machine/deep learning and statistical models for multi-scale data representation and analysis. Thirdly, I will present examples of applying these models to the extraction of biomarkers from (epi)genomics and MRI imaging data. In particular, I will focus on the integration of multiscale genomic and imaging data for improved diagnosis of mental illnesses (e.g., schizophrenia) and brain development study.

 

http://www.clemson.edu/cecas/departments/bioe/news-events/seminar.html

 

 

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