Poster presented at AACR 2026
Rapid and autonomous multi-agent augmented analysis of immunecheckpoint inhibitor responses from diverse datasets
This poster characterizes the integration of ex vivo cytokine profiling data from live tumor fragments with bulk transcriptomic datasets using Mithrl’s autonomous multi-agent AI platform and reveals that cytokine signatures observed from ex vivo profiling are reflected in transcriptomic phenotypes known to be associated with response to ICIs.