Gary Tozbikian

This researcher studies breast cancer pathology, with a particular focus on classifying tumor subtypes (such as HER2-low and HER2-ultralow carcinomas) and using computational and deep learning tools applied to tissue images (histopathology) to predict cancer recurrence risk and treatment response. Much of the work combines traditional pathology assessment with newer AI-based image analysis methods, often in collaboration with clinical trial data on breast cancer treatments like HER2-targeted therapy and immune checkpoint inhibitors.

Publication output has fluctuated over the past decade but shows an overall increase in recent years, rising from a low base around 2017-2020 to a higher and more active pace by 2023-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026