19. Mai 2025 Mindpeak wins Best Poster Award

The joint study with Emory University, University Clinic Erlangen and University of Regensburg shows that our AI software Mindpeak Breast H&E can reliably distinguish invasive breast cancer from non-invasive in-situ lesions and healthy tissue with outstanding accuracy.

On one of the most diverse datasets to date, including data from 59 institutions, the algorithm achieved a AUC of 0.997 demonstrating near-perfect classification performance.

Our results show that Mindpeak Breast H&E is ready to enable effective case prioritization for pathologists to achieve faster diagnosis and treatment for patients in need. This capability will help empower pathologists worldwide in maintaining high standards of patient care amid increasing case volumes.

Congratulations to the whole team and contributors: Patrick Frey, Andre Kochanke, PhD, Sunil Badve, Prof. Dr. med. Dr. rer. biol. hum. Ramona Erber, Niklas Abele, Diego Calvopina, PhD, Khalid Daifalla, Ralf Banisch, David Mulder, and Tobias Lang!