Applying artificial intelligence to age prediction

Applying artificial intelligence to age prediction

Applying artificial intelligence to age prediction

Many technology commentators got all excited a few months ago when Microsoft launched how-old.net, a website where users could upload a photo and the site would guess the age of the person in the picture. The service was a great way to showcase the opportunity that applying artificial intelligence to a problem set introduces.

Insilico hopes to deliver a similar sort of an offering, but with a far more important purpose.

Insilico Medicine is an organization focused on aging research. Headquartered at the Emerging Technology Centers at the Johns Hopkins University Eastern campus in Baltimore, it has R&D resources in Belgium, Poland, Russia and China employing 39 scientists worldwide. It is one of the leaders in artificial intelligence trained on some of the largest repositories of gene expression and pharmacological data. Its approach to aging research is to eschew animal testing and instead apply high-performance computing to the problem. Insilico is a service provider who offers analytical services to biopharmaceutical companies, repurposes existing drugs and develops molecular biomarkers of aging and age-related diseases.

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Insilico is working on a beta version of its aging.ai service. The service takes data from regular blood tests and "guesses" the age of the patient. Already, at this early stage, the accuracy of the test is a reported 80% within the 10-year interval and 99% accuracy for guessing gender without relying on hormones.

Currently, there are no cheap biomarkers of aging.

 



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