Hacking the aging code: Big data to the rescue Main section Page top

Hacking the aging code: Big data to the rescue

CREDIT: GERO LLC

The paper explains how the concept of criticality borrowed from physics of dynamic systems and widely used to model complex phenomena such as financial markets behaviour or weather conditions could be applied to aging studies and result in generation of models predicting biological age, aging rate and even potential targets for future anti-aging therapies. Successful applications of this approach by Dr. Fedichev's research team include the biomarker of aging and frailty based on data from wearables and smartphones, and identification of experimental drugs extending lifespan in model organisms based on the transcriptomic signatures of longevity.

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