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Seminar - UNC Biomedical Research Imaging Center

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Seminar - UNC Biomedical Research Imaging Center


UNC Biomedical Research Imaging Center (BRIC)

Seminar Series

Brain imaging genetics for Alzheimer’s disease: integrated analysis and machine learning

Presented by Li Shen, Ph.D., FAIMBE

Professor of Informatics in Biostatistics and Epidemiology
The University of Pennsylvania Perelman School of Medicine

Wednesday, May 25, 2022

11:00 AM Via Zoom

https://zoom.us/j/94205219878?pwd=RUIvZHZ0TEYxeWw3NnEzYlVrY3BpZz09

Meeting ID:942 0521 9878

Passcode: 150444

Brain imaging genetics is an emerging data science field, where integrated analysis of brain imaging and genetics data, often combined with other biomarker, clinical and environmental data, is performed to gain new insights into the genetic, molecular and phenotypic characteristics of the brain as well as their impact on normal and disordered brain function and behavior.

Many methodological advances in brain imaging genetics are attributed to large-scale landmark biobank projects such as the Alzheimer’s Disease Sequencing Project, the Alzheimer’s Disease Neuroimaging Initiative, and the UK Biobank.

Using the study of Alzheimer’s disease as an example, we will discuss fundamental concepts, state-of-the-art statistical and machine learning methods, and innovative applications in this rapidly evolving field. We show that the wide availability of brain imaging genetics data from various large-scale biobanks, coupled with advances in biomedical statistics, informatics and computing, provides enormous opportunities to contribute significantly to biomedical discoveries in brain science and to impact the development of new diagnostic, therapeutic and preventative approaches for complex brain disorders such as Alzheimer’s disease.

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