Democratizing access to predictive diagnostics in cancer

In the era of personalized Hematology and Oncology, the administration of targeted therapies largely depends on the diagnostics of genomic biomarkers. Moonlight AI aims at accessing this important and predictive genomic information by solely applying computer vision (AI) to scanned images from blood or bone marrow smears of the patients. These smears are collected as part of standard routine diagnostics. Of note, the approach of Moonlight AI does not depend on the use of expensive, slow and tedious laboratory sequencing services. The algorithms developed by Moonlight AI will not only provide patients access to diagnostics and, thus, the right treatment, but they will also leverage use of continuous monitoring of patients for therapeutically relevant genomic biomarkers to evaluate response.