1 citations · 1 across the 1 of their papers we have counts for
3 papers
TxBench-PP: Analyzing AI Agent Performance on Small-Molecule Preclinical Pharmacology
Hannah Le, Ramesh Ramasamy, Alex Urrutia +3
Artificial intelligence (AI) agents promise to accelerate drug discovery by compressing interpretation and decision-making loops, but practical deployment requires trusted evaluati…
scBench: Evaluating AI Agents on Single-Cell RNA-seq Analysis
Kenny Workman, Zhen Yang, Harihara Muralidharan +2
As single-cell RNA sequencing datasets grow in adoption, scale, and complexity, data analysis remains a bottleneck for many research groups. Although frontier AI agents have improv…
SpatialBench: Can Agents Analyze Real-World Spatial Biology Data?
Kenny Workman, Zhen Yang, Harihara Muralidharan +1
Spatial transcriptomics assays are rapidly increasing in scale and complexity, making computational analysis a major bottleneck in biological discovery. Although frontier AI agents…