Collaborative Innovation Network

Pathfinder Lab has been at the forefront of developing AI-powered software for analyzing digital pathology images, with a particular focus on cancer detection. One of our most significant research outcomes this year was the development of a deep learning model that achieved a 92% accuracy rate in predicting tumor aggressiveness in prostate cancer cases. This model, trained on a diverse dataset of whole slide images (WSIs) from our university hospital partners, integrates histopathological features with molecular biomarkers to provide personalized prognostic insights. This breakthrough was presented at the SPIE Medical Imaging 2025 Conference during the Digital and Computational Pathology session, where our lead researcher, Dr. Sarah Kim, delivered a keynote presentation titled “AI-Driven Precision Oncology: Redefining Prostate Cancer Diagnostics.” The presentation highlighted how our model surpasses traditional methods, offering a glimpse into the future of pathology.