Researchers at Johns Hopkins Kimmel Cancer Center and its Bloomberg~Kimmel Institute for Cancer Immunotherapy successfully trained a machine learning algorithm to predict, in hindsight, which patients with melanoma would respond to treatment and which would not, in a small study.
The field of surgical oncology has undergone transformative advancements over the last decade. From refining minimally invasive techniques to leveraging immunotherapy and viral oncolytics, our collective goal remains the same: improving patient outcomes while reducing treatment burden. At City of Hope, we have prioritized accelerating the translation of laboratory discoveries into clinical applications, and nowhere is this more evident than in our work with oncolytic viruses, remote surgery, and the integration of AI in surgical decision-making.
