Researchers from the University of Minnesota Medical School, in collaboration with Emory University and the Georgia Institute of Technology, have developed a new artificial intelligence biomarker tool that may help predict how ovarian cancer patients will respond to treatment at the time of diagnosis.
A team led by Cedars-Sinai Health Sciences University investigators has created a faster, cheaper way to determine the genes expressed in cancerous tumors. The AI-based tool could make personalized cancer treatment available to more patients.
