Investigators reported that the classifier could correctly predict cancer type with over 94 percent accuracy and highlighted impacts in a commercially tested cohort.
The company hopes the data will help convince clinicians to adopt the algorithm in CRC as it pushes forward validations for other areas like pancreatic and ovarian tumors.
