Digital Pathology

Digital pathology models use slide images and clinical variables to predict treatment response and recurrence risk in breast cancer care.

Business impact

• Validation coverage across institutions — The models were validated across more than 10 institutions.

Data requirements

• Digital pathology slides (image) — Used to identify patterns associated with response and recurrence risk.
• Standard clinical variables (tabular) — Combined with slide data to improve prediction.
• Clinical trial data (tabular) — Used to strengthen the models over time.

AI methods and techniques

• Predictive modeling — The system predicts chemotherapy response, recurrence risk, and chemotherapy benefit.
• Multimodal analysis — It combines digital pathology slides with standard clinical variables.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Leica Biosystems, Ataraxis AI.