Google DeepMind is deploying an AI system named Co-Scientist to tackle two major hurdles in cellular aging research: identifying promising genetic pathways and making sense of complex experimental data.
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Biologists Omar Abudayyeh and Jonathan Gootenberg are leveraging Co-Scientist to analyze vast genetic screens. These experiments involve altering thousands of genes to observe cellular responses, aiming to revert cells from a senescence state linked to aging back to a youthful condition.
Co-Scientist acts as a research accelerator. It sifted through tens of thousands of scientific papers to propose over 20 novel genetic factors that could reverse aging. Lab validation confirmed some of these proposals, successfully rejuvenating cells.
The AI also dramatically cuts down data analysis time. What once took researchers up to six months to interpret complex screening results and connect them to existing literature can now be accomplished by Co-Scientist in just a few days.
