University of Michigan researchers have developed a digital twin of brain tumors that can help predict whether specific diets or drugs may slow cancer growth in individual patients. Using advanced modeling and large data sets, the approach helps explain why some tumors respond to metabolic treatments while others do not. Read the full article to learn more about how this research could inform personalized cancer treatment.
We use cookies to ensure you get the best experience on our website. By using this site, you accept our use of cookies.