Share

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.

News

More News

Even More News

About the author
mm

Josh Conway

Josh is a professional editor and is responsible for editing our articles before they become available to the public as well as moderating our Discord server. He is also a programmer, long-time supporter of rejuvenation biotechnology, and avid player of the strange game called "real life." Living in the center of the northern prairie, Josh enjoys long bike rides before the blizzards hit.
Write a comment:

*

Your email address will not be published.

© 2018 - LIFE EXTENSION ADVOCACY FOUNDATION
Privacy Policy / Terms Of Use

       Powered by MMD