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Beyond Biopsies: Single-Molecule Cell-Free DNA Profiling Fuels Non-Invasive Cancer Screening and Detection
A new ray of hope for non-invasive cancer detection has emerged. A machine learning algorithm called GEMINI, created by John Hopkins University and Boston University researchers, can effectively diagnose cancer patients using CT scans, even in the early stages (stages I and II), without intrusive treatments like biopsies. This model focuses on the DNA changes…