Machine Learning for Building Personalized Cancer Nanomedicines: Interview with Dr. Daniel Heller
Researchers at the Sloan Kettering Institute and the Weill Cornell Graduate School of Medical Sciences in New York have developed a machine learning approach to design personalized nanoparticle therapies for cancer. Personalized cancer therapies aim to provide a treatment that is tailored to the genetic makeup of a patient’s tumor. They can still cause side effects, however, when they … Continued