AACR special Conference in cancer research: AI/ML
The study introduced D-Fract, a diffusion-based model that filters cfDNA to better detect tumor-derived fragments. This approach significantly increased the estimated tumor fraction and improved tissue-of-origin classification accuracy by 9%, highlighting its potential to boost the performance of multi-cancer early detection (MCED) diagnostics.
