Computational pathology (CPATH)/Computer Assisted Diagnosis research in breast cancer.

FIRST NAMED INVESTIGATOR: Dr Gavin Harris
HOST INVESTIGATOR: Canterbury District Health Board

Problem
Diagnosing breast cancer accurately and fairly is a challenge, and using a microscope alone doesn’t always catch unique patterns in cancer cells that could help with treatment.

Project
Dr. Gavin Harris is using AI and machine learning to analyze breast cancer tissue samples. This will allow computers to identify cancer patterns automatically, especially for a specific type of breast cancer (HR+)/(HER2-), while also ensuring that these tools are fair and ethical.

Outcome
The project will make it easier to assess likely breast cancer aggressiveness more easily, accurately and at a lower cost helping doctors choose the best treatment options for each patient based on their unique cancer type.

Future
This work could lead to more personalised breast cancer treatments, allowing patients to get therapies that are better suited to their specific needs, which may improve their health outcomes.