Science behind CanAssist Breast

At our CAP-certified laboratory, we use a proteomics-based method to analyze a patented combination of protein biomarkers on the patient’s tumor, along with clinical parameters, to compute cancer recurrence risk using our proprietary machine learning-based algorithm. The CanAssist Breast score derived from the algorithm determines the patient’s breast cancer recurrence risk over five years, classifying the patients as ‘high-risk’ or ‘low-risk.’