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Aging Biology

2 GoKawiil briefs on this topic

Startup publishes open-source AI tools to find aging-related drug targets

A research team, along with academic collaborators, released a paper in the journal Cell introducing open tools designed to evaluate AI models and help scientists identify potential drug targets in aging biology. The work is framed as part of a broader effort to apply AI to longevity research, offering new methods both for finding interventions and for studying their effects in people.

Rockefeller researcher Junyue Cao maps aging as a programmed sequence, not random decay

Cell biologist Junyue Cao of Rockefeller University argues that aging follows a structured, stepwise progression rather than being simple molecular wear and tear. Using single-cell genomic tools to track aging in mice across the body, his lab identified distinct stages marked by shifts in molecular signals and cell populations, resembling phases of embryonic development. Cao suggests this programmed decline likely starts before age 30 in humans.