How OpenAI, PerturbAI, and Scripps Research used distributed AI agents to help scientists identify promising research leads in data from millions of brain cells
(opens in a new window) See how OpenAI, PerturbAI, and Scripps Research deployed thousands of AI agents in parallel to identify promising biological connections in complex data from millions of brain cells
Share Big experiments, unexpected clues Big experiments, unexpected clues Divide the work, deepen the reasoning Finding the next experiment worth doing Big experiments, unexpected clues Divide the work, deepen the reasoning Finding the next experiment worth doing What if scientists could uncover new clues about Alzheimer's and Parkinson's in minutes instead of months? Working together, OpenAI, PerturbAI (opens in a new window) , and Scripps Research (opens in a new window) used thousands of AI agents powered by GPT‑Rosalind (opens in a new window) to analyze and interpret existing experimental data from millions of mouse brain cells (opens in a new window) in just 32 minutes. The agents connected the effects of gene disruptions with findings from scientific literature, uncovering unexpected biological connections that can help scientists understand disease and identify research directions for new treatments. The work shows how AI can help researchers explore more of what large biological experiments reveal
