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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Committed to enable health and longevity by being science led in developing its portfolio of aging clocks
Deep Longevity provides personalized health insights designed to drive preventive care and early interventions. By tailoring diet, exercise, and lifestyle recommendations, our cutting-edge technology not only enhances individual well-being but also advances scientific understanding of longevity.
Deep Longevity’s commercially available aging clocks include Blood Age, Mind Age, Biometric Age, and Epigenetic Age.
We are actively exploring the development of additional aging clocks. Our ongoing research is propelled by collaborations with leading universities, hospitals, and companies in the health and longevity field, with the goal of developing additional aging clocks and advancing the science of longevity.
At the forefront of longevity research, we are the pioneers of aging clocks and have been developing them since 2014.
Visit website: https://deeplongevity.com/
Details last updated 09-May-2025
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
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