Colorectal cancer (CRC) is the second leading cause of cancer-related deaths worldwide. Researchers from Helmholtz Munich and the University of Technology Dresden have demonstrated that artificial intelligence (AI)-based predictions can yield results comparable to clinical tests on CRC biopsies.
These AI predictions can expedite the analysis of tissue samples, leading to quicker treatment decisions. This innovative model for biomarker detection marks a significant advancement towards precision therapy in oncology. The method, detailed in the journal Cancer Cell, utilizes “transformer networks,” a deep learning approach, to identify patterns and aid in cancer diagnosis. The new technique notably enhances previous methods for biomarker detection.