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

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

23-Oct-2020

Key points from article :

Deep Longevity has entered into a partnership with Longenesis, a company focused on consent-enabled safe data curation for research.

Collaboration will integrate Longenesis’ consent management system into the Deep Longevity digital platform (including Young.AI).

The companies will also be developing a federated learning framework together.

"... will allow us to train multiple new aging clocks without the need to transfer user data,” - Polina Mamoshina, Deep Longevity CSO.

"...centralized, compliant and seamless biomedical data asset identification is crucial" - Sergey Jakimov, Longenesis CEO.

There is a need for a common standard for data management of client/patient data in the longevity field.

Mentioned in this article:

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Deep Longevity

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

Longenesis

Unlocking the power of life data without borders

Polina Mamoshina

Chief Scientist and Chief Operating Officer at Deep Longevity and Head of Biomarker Development at Insilico Medicine.

Sergey Jakimov

Longenesis CEO

Young.AI

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

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