ColonFlag (Previously MeScore) is a decision support software tool that identifies individuals who are at high risk of having colorectal cancer (CRC) using conventional blood test results, age and gender. ColonFlag can indicate CRC at its early stages, often months before clinical signs are present.
ColonFlag is used by healthcare organizations as a clinical decision support system, alerting doctors on patients who are at high risk of having CRC. With the use of ColonFlag, healthcare organizations can reach out to individuals who are not up to date with their CRC screening and help prioritize them for further evaluation. The ability to pinpoint high-risk patients can help optimize the use of colonoscopy resources and potentially improve patient care.
ColonFlag utilizes Big Data to analyze thousands of complex parameters, trends and interrelationships within mass CBC data. Our technology can surface intelligent data-driven insights relating to cancer risks, which may be invisible under current standard scrutiny. ColonFlag is part of the revolution which applies machine learning technology to healthcare, designed to help save lives, drive medical efficiency and reduce costs through improved tools supporting early detection and treatment.
The ColonFlag model was developed and validated with datasets from nearly 1 million patients in Israel and U.K., as well as ongoing clinical trials including over 20 million patients in 14 sites worldwide.
ColonFlag bears CE and is not yet cleared by FDA for commercial use in the USA