Harvard researchers developed an AI to determine how medical treatments affect life spans

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A new AI system that predicts the health spans of mice could help develop life-extension interventions for humans, according to the tool's inventors. The system analyzes established measures of frailty to gauge a mouse's chronological age and their so-called biological age -- the condition of their physical and mental functions. It was created by researchers from Harvard Medical School's Sinclair Lab, who say it's the first study to track a mouse's frailty for the duration of its life. They plan to use the predictions to quickly test interventions intended to extend the mice's lives and move towards doing the same in humans. "It can take up to three years to complete a longevity study in mice to see if a particular drug or diet slows the aging process," said study co-first author Alice Kane, a research fellow in genetics at Harvard Medical School's Sinclair Lab.

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