Few problems in medicine are more complex or consequential than aging. Its overlapping biological processes often determine how long people can live in good health. At Calico Life Sciences, head of AI/ML Matt Onsum and principal scientist Katherine Labbé are using Co‑Scientist to help connect scattered findings across the biology of aging and turn them into hypotheses worth testing.

That is no small task, because the biology literature is full of mixed-quality findings, dead ends, and results that do not replicate. Onsum says Co-Scientist impressed Calico’s experts with its scientific discernment, helping cut through that noise to help them identify new ideas genuinely worth exploring.

One example came from Calico’s work on the integrated stress response (ISR), a protective cellular mechanism that can also contribute to disease when persistently turned on. The Calico team used Co-Scientist to generate a novel yet plausible hypothesis about how the ISR is regulated by metabolism, which is known to change with age and in various diseases. Researchers also interacted with Co-Scientist to refine the experimental design to test the hypothesis and feed in new information as results emerged. The experiments led to new findings that have important implications for the role of ISR in health and disease and the team plans to publish the results.

What I found both exciting and surprising about using Co-Scientist is how much it thinks like a scientist. It really works naturally with how a scientist already thinks and behaves.

Seeing how Co-Scientist helps us integrate all the information we have around us to better untangle the mysteries of aging — that's about as big of a moonshot as I can think of.

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