We’re continuing to release talks from Ending Age-Related Diseases 2019, our highly successful two-day conference that featured talks from leading researchers and investors, bringing them together to discuss the future of aging and rejuvenation biotechnology.
Dr. Qingsong Zhu, the COO of Insilico Medicine, discussed the use of deep learning in creating biomarkers for aging. Initially discussing existing clocks and the problems with animal translation, he went on to discuss what sorts of markers are ideal for age-related research and the details of training and testing a model that works with these markers, showing that a deep model compares favorably to other models.
He also used his model to show that smoking does, in fact, cause accelerated aging.
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