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Early Data Indicates an AI-Generated Drug Could Slow Aging
Clinical trial data suggests that Rentosertib, a drug discovered with AI, may slow aging by reducing markers measured by 'aging clocks'.
What: Originally developed for chronic lung disease, Rentosertib showed unexpected promise in slowing biological aging across six distinct 'aging clock' models.
Why it matters: This highlights the potential for AI drug discovery platforms to uncover secondary therapeutic benefits that traditional, targeted research methods might overlook.
Decoder
- Aging clocks: AI models that analyze biological markers (such as DNA methylation or blood chemistry) to estimate a person's biological age versus their chronological age.
Original article
Rentosertib is a drug created with the assistance of AI. The AI originally indicated that the drug could help treat patients suffering from a chronic lung disease, but data from clinical trials show it could also slow the aging process. The drug reduced the biological markers of age as measured by six 'aging clocks', a different kind of AI technology designed to predict a person's morbidity and mortality. While the drug shows promise, it is still years away from regulatory approval, even for use in sick patients.
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