Article
Evaluating agentic AI for biological discovery in autonomous and copilot settings
2026-06-09
Abstract excerpt
Advances in large language models (LLMs)-based artificial intelligence (AI) agents have improved their ability to execute structured analytical workflows, including standard bioinformatic pipelines for biological discovery. However, computational biology rarely consists of deterministic pipeline execution alone. Biological datasets are heterogeneous and noisy, and meaningful discovery often requires open-ended hyp...
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Identifiers and source
- Literature Corpus work
- 3d434538-c70a-5d62-b041-f6dce126eb1b
- DOI
- 10.64898/2026.06.04.729919