September 10, 2025Open Access

BioML-bench: Evaluation of AI Agents for End-to-End Biomedical ML

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Benchmark evaluates AI agents on diverse biomedical ML tasks, highlighting performance gaps and potentials.

Agents showed lower performance compared to human baselines in biomedical ML tasks, indicating limitations.
On average, agents that employed diverse ML strategies achieved higher scores, suggesting architecture influences success.
BioML-bench is the first comprehensive suite for assessing AI in end-to-end biomedical ML workflows across four domains.
Findings underscore the need for systematic approaches to evaluate AI agents, reflecting current limitations in biomedical applications.

Miller et al. (2025) studied this question.

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September 10, 2025Open Access

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Authors

Benchmark evaluates AI agents on diverse biomedical ML tasks, highlighting performance gaps and potentials.

Agents showed lower performance compared to human baselines in biomedical ML tasks, indicating limitations.
On average, agents that employed diverse ML strategies achieved higher scores, suggesting architecture influences success.
BioML-bench is the first comprehensive suite for assessing AI in end-to-end biomedical ML workflows across four domains.
Findings underscore the need for systematic approaches to evaluate AI agents, reflecting current limitations in biomedical applications.

Miller et al. (2025) studied this question.

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