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

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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