Opening new paths in aging research

Researchers at Calico Life Sciences, including AI/ML head Matt Onsum and principal scientist Katherine Labbé, are using an AI tool called Co-Scientist to analyze the complex biology of aging and generate testable hypotheses. The tool helped the team cut through noisy and inconsistent scientific literature to identify a novel hypothesis about how the integrated stress response (ISR) is regulated by metabolism. Experiments based on this hypothesis yielded new findings with significant implications for health and disease, which the team plans to publish.

Opening new paths in aging research 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.