Unmet Medical Need: Pathologists need a way to identify which regions of excised breast tissue should undergo histopathological assessment to diagnose breast disease more effectively.

Envisioned Healthcare Product:  The envisioned product deploys optical coherence tomography imaging and artificial intelligence image analysis to achieve the microscopic-level resolution, large field of view, and fast throughput necessary for integration into clinical workflow. The image-guided sample selection can reduce the number of tissue blocks submitted for histopathology, and the associated cost and workload, by 30-50%.

Stage of Development:  Pre-Clinical Testing

Collaborative Research Team: Christine Hendon, PhD and Hanina Hibshoosh, MD

Funding Cycle: 2020-2021