Opening new paths in aging research
Calico Life Sciences uses Co-Scientist to connect scattered findings and generate new leads in aging research.
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Aging research involves understanding overlapping biological processes that affect how long people live in good health, making it one of medicine's most complex problems. A research organization is using an AI tool called Co-Scientist to help connect scattered findings across aging biology literature and generate new hypotheses worth testing, since that literature contains mixed-quality findings, dead ends, and results that do not replicate. In one example, researchers used Co-Scientist to develop a novel hypothesis about how a protective cellular mechanism called the integrated stress response is regulated by metabolism, which changes with age and disease. The AI tool helped researchers identify genuinely promising ideas, refine experimental designs, and integrate new information as results emerged, leading to findings with implications for understanding the integrated stress response's role in health and disease.
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