Life Extension, InSilico Medicine to use AI to Combat Aging

By Prei Dy, | March 17, 2017

Life Extension and InSilico Medicine to launch Ageless Cell supplements to combat aging. (YouTube)

Life Extension and InSilico Medicine to launch Ageless Cell supplements to combat aging. (YouTube)

Life Extension Foundation and InSilico Medicine teamed up to determine the specific nutrient combinations that serve as geroprotectors, with the aim of developing ways to support healthy aging.

The two firms performed advanced bioinformatics methods and deep learning algorithms to screen for naturally occurring compounds that may slow down or reverse the cellular aging process.

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Life Extension and InSilico Medicine will introduce a product called Ageless Cell, the first supplement in its breakthrough GEROPROTECT line. Geroprotectors are a variety of natural substances that is capable of extending life, PR Newswire noted.

The product Ageless Cell contains four natural compounds - myricetin, NAC, gamma tocotrienol, and EGCG - that are believe to inhibit older cells. Scientists found that all these nutrients work together in different ways to bring benefit to key anti-aging pathways. Together, they could combat aging factors in the body and modify specific biological pathways responsible for keeping the body young and healthy.

"By rejuvenating near-senescent cells and encouraging the body's healthy process for dealing with senescent cells, Ageless Cell turns back the clock at the cellular level," Michael A. Smith, senior scientists for Life Extension, said.


Life Extension obtained blood tests from its clients to determine the efficacy of the supplement. And results could be available in less than a year.

 "Our collaboration with InSilico Medicine has allowed us to develop geroprotective formulations by using artificial intelligence to study very large data sets," Andrew Swick, senior vice president of product development for Life Extension, noted.

The joint collaboration aims to eliminate unnecessary dietary supplements and enlist those that likely work on humans. InSilico Medicine has created a database that track results in biomedical research and determine compounds that show positive results against aging and longevity. Proprietary bioinformatics tools are then used to screen the databases based on deep learning techniques to segregate which among the molecules are suitable and safe for humans.

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