Crunching fruit fly and human data via machine learning and systems biology results in the identification of key metabolites that impact lifespan in both species

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Discoveries that impact lifespan and healthspan in fruit flies are usually tested in mice before being considered potentially relevant in humans, a process that is expensive and time intensive. A pioneering approach leapfrogs over that standard methodology and identifies a metabolite that may hold promise as a target for aging.

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