Using machine learning algorithms to predict response and toxicity to immune checkpoint inhibitors (ICIs) in melanoma patients

• Published in: Journal of clinical oncology Vol. 37; no. 15_suppl; p. 2581
• Main Authors: Johannet, Paul, Coudray, Nicolas, Jour, George, Donnelly, Douglas MacArthur, Bajaj, Shirin, Moran, Una, Dawood, Zarmeena, Nomikou, Sofia, Kim, Randie H, Pavlick, Anna C., Weber, Jeffrey S., Tsirigos, Aristotelis, Osman, Iman
• Format: Journal Article
• Language: English
• Published: 20.05.2019

Abstract only 2581 Background: There is growing interest in optimizing patient selection for treatment with immune checkpoint inhibitors (ICIs). We postulate that phenotypic features present in metastatic melanoma tissue reflect the biology of tumor cells, immune cells, and stromal tissue, and hence...