Developed by OncoStem Diagnostics, CanAssistBreast combines patented protein biomarker analysis with clinicopathological parameters and an advanced AI algorithm to generate a personalized breast cancer recurrence risk score for early-stage patients.
Developer of CanAssistBreast and pioneer in AI-powered precision oncology solutions.
The AI engine analyses complex interactions between biomarkers and clinical parameters.
Generates a personalized recurrence risk score within five years.
CanAssistBreast categorizes patients into low-risk and high-risk groups based on their recurrence score, helping doctors make personalized treatment decisions.
Indicates a lower likelihood of breast cancer recurrence within five years.
Indicates a higher likelihood of recurrence and may require additional treatment strategies.
From tumour tissue analysis to AI-driven risk prediction, every step is designed to deliver accurate and personalized recurrence risk assessment.
Tumour tissue collected after surgery is prepared for analysis.
Patented protein biomarkers are measured from the tissue sample.
Tumour size, grade and lymph node status are incorporated.
AI evaluates biomarker interactions to calculate recurrence risk.
A personalized recurrence score and clinical report are generated.
The CanAssistBreast report provides a personalized recurrence risk score, clinical interpretation, biomarker analysis, and actionable insights to support informed treatment decisions.
Get AI-powered insights into breast cancer recurrence risk and support personalized treatment planning with CanAssistBreast. Download the brochure or connect with our team to learn more.