Opening new paths in aging research

Google DeepMind Blog News

Summary

Calico Life Sciences uses Google DeepMind's Co‑Scientist to connect scattered findings in aging biology and generate testable hypotheses, such as a novel hypothesis about ISR regulation by metabolism.

Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
Original Article
View Cached Full Text

Cached at: 05/19/26, 07:15 PM

# Opening new paths in aging research Source: [https://deepmind.google/blog/opening-new-paths-in-aging-research/](https://deepmind.google/blog/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\.

Similar Articles

Fast-tracking genetic leads to reverse cellular aging

Google DeepMind Blog

DeepMind's Co-Scientist is helping biologists identify genetic factors that reverse cellular aging by mining literature and analyzing screening data, reducing analysis time from months to days.

Uniting biological toolkits for a new approach to ALS

Google DeepMind Blog

DeepMind's Co-Scientist AI tool bridges the expertise of two researchers from different biological fields to accelerate ALS research by generating testable hypotheses and identifying RNA-based mechanisms for potential therapies.

Generating novel scientific hypotheses with Co-Scientist

YouTube AI Channels

Google DeepMind's Co-Scientist is a multi-agent AI system that acts as a virtual team of scientists to search literature, generate hypotheses, and design experiments, compressing months of research into days and already yielding new scientific discoveries.

Accelerating discovery of liver disease mechanisms

Google DeepMind Blog

DeepMind's Co-Scientist AI system helped researchers at the University of Edinburgh generate a novel, experimentally verified hypothesis linking the NLRP3 inflammasome to the mechanism of drug resmetirom in MASH liver disease, potentially enabling targeted combination therapies.