CYTOREADER is our first cancer classifying app (cAPP)
Cervical cancer is caused by a persistent HPV virus infection. It is fully preventable if recognised early enough.
Automatic screening of samples prepared during womens’ check-ups provides a safe and reliable screening quality.
While screening using genetic material is becoming partly available now with high-throughput and good test sensitivity, it does not provide sufficient specificity. Therefore, automation of cytological testing, allowing the visual inspection of cells from patient samples, will be crucial.
Biomarkers help here as they provide objective signals for detecting pre-cancerous or cancerous cells.
About 50-500 million samples need to be profiled yearly around the globe using image analysis.
CYTOREADER is providing automated reading of liquid based cytology slides stained with the CINTEC Plus (p16+Ki67) biomarker assay from Roche using deep learning algorithms.
CYTOREADER has been validated on 5,930 patients in 4 different clinical trials by the US National Cancer Institute (NCI). This is the largest study currently performed in the field of digital pathology.