Capability benchmark · Biology · Medicine · Computer science
SciAgentArena benchmarks agents on cross-scale biomedical research challenges
An interactive benchmark of approximately 200 scientific-agent tasks across drug discovery, omics, EHR modeling, and genetics.
Summary
SciAgentArena introduces an interactive benchmark for AI agents on scientific research scenarios across drug discovery, single-cell and spatial omics, EHR modeling, and genetics. The paper reports that agents can help with well-specified data-analysis workflows but struggle with novelty, self-directed exploration, and robust open-ended research solutions.
AI role
Measured AI agents in real-world-style scientific scenarios with stepwise verification across analysis, optimization, discovery, and validity tasks.
Narrative role
This is current benchmark evidence that AI agents are becoming measurable in realistic biomedical workflows while still showing important limitations on autonomy and discovery.
Caveat
The source is a preprint and the benchmark mixes many task types, so aggregate conclusions need to be read at the level of evaluated scenarios rather than all biomedical science.