


Artificial intelligence (AI) is playing an increasingly important role in preventive medicine and longevity research. By analyzing vast datasets — genetic, clinical, environmental, and lifestyle — AI can identify aging risk factors and predict the development of age-related diseases at a very early stage.
Machine learning algorithms are used to create a so-called “biological age,” which reflects the real biological age of the body, regardless of chronological age. This analysis makes it possible to monitor the pace of aging and individually tailor health interventions — from diet and supplementation to physical activity programs and pharmacotherapy. AI also plays a key role in discovering new therapeutic solutions, such as senolytics — substances that remove “old” cells contributing to inflammation. Thanks to AI, better personalization of therapies and healthcare plans for elderly individuals is also possible. In summary, artificial intelligence is becoming an invaluable tool in promoting health and extending life — through precise diagnostics, personalized interventions, and accelerating research on the mechanisms of longevity.
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