An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User

Last month, the Mithrl team headed to Pittsburgh for ABRF 2026, the annual meeting of the Association of Biomolecular Resource Facilities. ABRF is where the scientists who run core research facilities come together: the genomics labs, proteomics centers, and shared resource teams that power discovery across academia and biopharma. What makes it special is that it sits at the intersection of cutting-edge science and real-world execution. The people in the room aren't just talking about new technologies, they're the ones actually running the experiments.

We were honored to be selected for a scientific poster, An Agentic AI Scientific Decision Engine for Omics: Bridging Core Lab and End User, authored and presented by, Ada Shaw, PhD, Scientific Partnerships Lead at Mithrl.

• Data complexity ≠ clearer outcomes for investigators

• Bioinformatics & biology expertise rarely coexist

• AI outputs: hard to verify, reproduce, or operationalize

Mithrl is a Scientific Decision Engine that compresses the discovery loop for pharma R&D. Mithrl may also be applied to service lab operations, to deliver data to clients in a ready-for-insights mode, with no coding or configuration required. With Mithrlʼs enterprise-ready agentic AI systems, bench scientists and computational biologists can accelerate analyses and contextualize results with rigorous biological insights. Mithrl enables researchers to discover new biomarkers, identify new therapeutic targets, and understand mechanisms of action, moving from raw data to reproducible insights and defensible IP opportunities.

Download our scientific poster from the recent ABRF conference in Pittsburgh, PA. Connect with us to discuss the Mithrl Scientific Decision Engine and how your discovery or services lab could gain a competitive edge in speed and delivering depth of actionable insights.