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This collaboration establishes a significant benchmark for applying large-scale multi-agent systems to solve high-complexity biomedical problems by processing experimental data and literature in parallel. The initiative moves beyond simple text generation to focus on verifiable hypothesis generation, marking a concrete step toward autonomous AI agents driving scientific discovery pipelines.

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PerturbAI Partners with OpenAI to Develop AI Reasoning Agents, Accelerating Biomedical Research

36KrOctober 21, 20261 min read

On October 21, biotechnology company PerturbAI announced a collaboration with OpenAI and the Scripps Research Institute to develop an AI reasoning framework. The initiative leverages thousands of agents to analyze biological experiment data in parallel, retrieve scientific literature, and propose verifiable research hypotheses. The partnership will further explore new drug targets.

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