Moonlight AI delivers a fast AI platform that analyzes scanned images of blood or bone marrow smears to reveal vital genomic information for cancer treatment decisions. This approach skips costly and slow lab sequencing, making personalized medicine accessible to more patients worldwide, especially those with hematologic cancers affecting 1.7 million people. By democratizing tumor genomics, it empowers doctors to match therapies accurately and monitor patient responses continuously.
Key Features
Applies computer vision AI directly to routine smear scans for quick genomic biomarker detection, no sequencing needed.
Enables continuous monitoring of cancer patients to track treatment response through repeated, affordable scans.
Focuses on hematologic cancers, providing essential data for targeted therapies in personalized medicine.
Founded by experts like Stefan Habringer, Nicole H. Romano, and Christian Ruiz, with backing from biotech investors.
Use Cases
Helping oncologists identify genomic markers in leukemia patients from standard blood smears for faster therapy selection.
Supporting remote or underserved clinics by reducing reliance on expensive NGS equipment and labs.
Tracking tumor changes over time in cancer patients to adjust treatments without repeated invasive tests