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New app helps identify biological age and methods to slow it down

Apps such as Young. ai will play a key role in helping understand and reversing aging processes

17-Aug-2020

Key points from article :

Young.ai app, created by Deep Longevity, computes biological age using data collected from blood samples, heart rate from wearable fitness trackers, or a photograph of the user’s face.

The app will include a checklist of personalized steps that users can take to help slow or reverse the aging process.

The app is designed to integrate with both the Apple Watch and Fitbit fitness trackers.

The app assesses a user’s biological age across 20 metrics using a score called “AgeMetric.”

Metrics are based on users answering simple questions about the user's mental health or analysis of a user’s transcriptome, or assessment of a person’s microbiome, using lab tests.

"..Young.ai app would help encourage discussions between users and their doctors about aging and longevity."- Alex Zhavoronkov, chief longevity officer, Deep Longevity

Research conducted for algorithms, which use AI to make predictions based on data, has been published in peer-reviewed journals.

The app will operate on a freemium model.

Mentioned in this article:

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Alex Zhavoronkov

CEO of InSilico Medicine & Deep Longevity. CSO of Biogerontology Research Foundation

Deep Longevity

AI to track the rate of ageing at the molecular, cellular, tissue, organ, system, physiological, and psychological levels

Young.AI

Using AI to track biological aging at the molecular, physiological, and psychological levels

Topics mentioned on this page:
Biological Age, Quantified Self