Opening new paths in aging research
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.
View Cached Full Text
Cached at: 05/19/26, 07:15 PM
Similar Articles
Fast-tracking genetic leads to reverse cellular aging
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
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
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
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.
Two AI-based science assistants succeed with drug-retargeting tasks
Two AI-powered science assistants, Google's Co-Scientist and FutureHouse's Robin, can generate hypotheses and analyze biological data for drug retargeting, helping researchers find non-obvious connections across scientific fields.