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Deep Longevity

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

Deep Longevity is developing explainable artificial intelligence systems to track the rate of aging at the molecular, cellular, tissue, organ, system, physiological, and psychological levels.

It is also developing systems for the emerging field of longevity medicine enabling physicians to make better decisions on the interventions that may slow down, or reverse the aging processes.

Deep Longevity developed Longevity as a Service (LaaS) solution to integrate multiple deep biomarkers of aging dubbed “deep aging clocks” to provide a universal multifactorial measure of human biological age.

Originally incubated by Insilico Medicine, Deep Longevity started its independent journey in 2020 after securing a round of funding from ETP Ventures, Human Longevity and Performance Impact Venture Fund, among others.

Deep Longevity established a research partnership with one of the most prominent longevity organizations, Human Longevity, Inc. to provide a range of aging clocks to the network of advanced physicians and researchers.

Visit website: https://deeplongevity.com/

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Details last updated 17-Jul-2020

Mentioned in this Resource

Human Longevity

Health Intelligence Company

Insilico Medicine

Biotechnology company that uses artificial intelligence to develop new drugs and for aging research

Deep Longevity is also referenced in the following:

ARDD 2021 - 8th Aging Research and Drug Discovery Meeting

31-Aug-2021 to 03-Sep-2021

Online event about latest progress in the molecular, cellular and organismal basis of aging organized by University of Copenhagen chaired by Morten Scheibye-Knudsen, Daniela Bakula and Alex Zhavoronkov, and with many speakers.

Deep Longevity Creations

Launching Mind Age on SenoClock Platform

20-Apr-2023

1 hour virtual event organized by Deep Longevity with Alex Zhavoronkov and Deepankar Nayak

Young.AI

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

Other people at Deep Longevity

Fedor Galkin

Project manager at Deep Longevity

Deepankar Nayak

CEO of Deep Longevity

Michelle Keller

Senior Manager of Scientific Business Development at Deep Longevity

Deep Longevity News

People with vulnerable mental state age faster than smokers

People with vulnerable mental state age faster than smokers

Interesting Engineering - 27-Sep-2022

Psychological component should not be ignored in aging studies as they impact on biological age

Deep Longevity's epigenetic aging clock, DeepMAge, retrained to use saliva samples

Deep Longevity's epigenetic aging clock, DeepMAge, retrained to use saliva samples

Longevity Technology - 02-Aug-2021

With an accuracy of 4.7 years it is much more convenient for home testing

AI based aging clock predicts psychological age

AI based aging clock predicts psychological age

Longevity Technology - 16-Dec-2020

Deep longevity's psychological clock might help you feel younger and live longer

A new ageing clock that reveals your biological age

A new ageing clock that reveals your biological age

Longevity Technology - 09-Dec-2020

DeepMAge is an accurate ageing clock so far and could be a key in medicine

Longenesis enables Deep Longevity to develop more ageing clocks with access to more data

Longenesis enables Deep Longevity to develop more ageing clocks with access to more data

Longevity Technology - 23-Oct-2020

Interoperability has always been problematic in healthcare - we really need to crack it for ageing research

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

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

Fortune - 17-Aug-2020

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

Deep Longevity investors bet on growing need for aging and longevity biomarkers

Deep Longevity investors bet on growing need for aging and longevity biomarkers

FierceBiotech - 15-Jul-2020

Biological clocks are a moving target so they'll need other researchers to corroborate their analysis

Topics mentioned on this page:
Biological Age, AI in Healthcare