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Board Member in the News: New research in PLOS Computational Biology co-authored by David Sinclair on machine-learning to predict biological age

Board Member in the News: New research in PLOS Computational Biology co-authored by David Sinclair on machine-learning to predict biological age

On August 19, 2022, PLOS Computational Technology published new research co-authored by AFAR expert David A. Sinclair, PhD, on machine-learning tools that use epigenetic clocks to select DNA sites from a large human blood dataset and accurately predict biological age.

Dr. Sinclair is an AFAR Board Member, a 2000 Glenn Foundation for Medical Research and AFAR Grants for Junior Faculty recipient, and a 2018 Irving S. Wright Award recipient. He is also a Professor in the Department of Genetics and co-Director of the Paul F. Glenn Center for the Biology of Aging at Harvard Medical School.

Read the research, “Novel Feature Selection Method for Construction of Accurate Epigenetic Clocks,” here.

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