Personalized Cancer Diagnostics
schwerpunkt
Gastbeitrag
Personalized Cancer Diagnostics
With artificial intelligence, machines can now examine thousands of medical images – and billions of pixels within these images – to identify patterns too subtle for a radiologist or pathologist to identify. The machine then uses this information to identify the presence of a disease or estimate its aggressiveness, likelihood of survival or potential response to treatment. We are engineers at the Center for Computational Imaging and Personalized Diagnostics t the Case Western Reserve University. Our team works with physicians and statisticians to develop and validate these kinds of tools.