C-PFAIDeep Longevity
AI aging clocks, biological age prediction, multi-omics
measurementmeasuring
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Loading section...0-100 chain-logic scale · 15 dimensions · scored on public evidence
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C-PFAIC-PFAIAI aging clocks, biological age prediction, multi-omics
0-100 chain-logic scale · 15 dimensions · scored on public evidence
Deep Longevity states that healthy productive longevity can be extended and human performance increased through artificial intelligence-driven aging research. It presents aging and longevity clocks as actionable tools for personalized preventative healthcare, longevity interventions, and clinical decision-making, and argues that deep biological aging clocks can measure biological age, track aging across multiple biological and physiological levels, and help assess susceptibility, severity, and survival risk in COVID-19, especially among older people.
SourceDeep Longevity states that aging is humanity's biggest problem and that healthy, productive longevity can be extended through personalized measurement and intervention. It presents biological age and deep aging clocks, based on surveys or simple blood tests, as practical tools to help people understand how to preserve health over time, improve performance, and obtain individualized recommendations for living better, longer, and healthier lives.
SourceDeep Longevity states that its mission is to extend healthspan and lifespan. It presents aging as humanity's biggest problem and explicitly argues that aging is a disease that should be tracked and managed as one. It further claims that the effectiveness of longevity efforts such as new drugs, repurposed drugs, supplements, regimens, health protocols, and lifestyle changes can only be tracked through aging clocks, and positions its Aging Cloud Platform, biological age reports, and aging clocks as tools to help people preserve health and achieve longer, healthier lives.
SourceDeep Longevity states that its mission is to extend healthy, productive longevity and increase human performance, and that artificial intelligence, especially deep learning, can generate actionable aging and longevity clocks for personalized preventative healthcare and longevity interventions. The company presents biological aging clocks as useful markers for susceptibility, severity, and survival in COVID-19, and says aging can be tracked across molecular, cellular, tissue, organ, system, physiological, and psychological levels to help guide interventions that may slow down or reverse aging processes.
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