People with vulnerable mental state age faster than smokers
Interesting Engineering - 27-Sep-2022Psychological component should not be ignored in aging studies as they impact on biological age
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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/
Details last updated 17-Jul-2020
Biotechnology company that uses artificial intelligence to develop new drugs and for aging research
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.
20-Apr-2023
1 hour virtual event organized by Deep Longevity with Alex Zhavoronkov and Deepankar Nayak
Using AI to track biological aging at the molecular, physiological, and psychological levels
Psychological component should not be ignored in aging studies as they impact on biological age
With an accuracy of 4.7 years it is much more convenient for home testing
Deep longevity's psychological clock might help you feel younger and live longer
DeepMAge is an accurate ageing clock so far and could be a key in medicine
Interoperability has always been problematic in healthcare - we really need to crack it for ageing research
Apps such as Young. ai will play a key role in helping understand and reversing aging processes
Biological clocks are a moving target so they'll need other researchers to corroborate their analysis