Researchers at the University of Michigan Rogel Cancer Center have developed a computational platform that can predict new and specific metabolic targets in ovarian cancer, suggesting opportunities to develop personalized therapies for patients that are informed by the genetic makeup of their tumors. The study appeared in Nature Metabolism.
Machine learning creates opportunity for new personalized therapies
September 28, 2022
Related blog posts
New drug shows promise for fighting both COVID-19 and cancer
November 15, 2022