OpenAI agents analyze a mouse-brain CRISPR atlas in 32 minutes
Original title: OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months
The Reasoning Atlas is on GitHub and a companion paper is on bioRxiv for labs to follow up.
OpenAI, PerturbAI, and Scripps Research used thousands of GPT-Rosalind agents on a whole-brain CRISPR atlas covering millions of mouse cells. Each agent analyzed one gene perturbation, interpreted cellular responses, and searched the literature. According to the team, the 32-minute run would take humans months to a year. In blind comparisons, experts preferred multi-agent reports over a single agent 75 percent of the time.
Unconfirmed: Runtime comparisons and biological leads are the team's claims, not independently confirmed.
- Agents reported unexpected differences between two disease-related genes.
- They also suggested a possible cholesterol link to neurodegeneration.
- Human experts preferred distributed-agent reports 75 percent of the time.
- OpenAI says the leads should help choose mechanisms to test in the lab.
- Products
- Reasoning Atlas
- Organizations
- OpenAIPerturbAIScripps Research
- AI models
- GPT-Rosalind
From the original article
1 min read at the-decoder.com
OpenAI teamed up with PerturbAI and Scripps Research to deploy thousands of AI agents that analyzed biological data from millions of mouse cells. The article OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months appeared first on The Decoder.
By Maximilian Schreiner · the-decoder.com
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