A deep learning approach utilizing clinical and molecular data for identifying prognostic biomarkers in patients treated with immune checkpoint inhibitors: An ORIEN pan-cancer study.
Year: 2022
Type: conference-abstract
Source: Journal of Clinical Oncology
Authors: Payman Ghasemi Saghand, Issam El Naqa, Aik Choon Tan, Mengyu Xie, Donghai Dai, James Lin Chen, Aakrosh Ratan, Martin McCarter, John D. Carpten, Harsh Shah, Alexandra Ikeguchi, Abhishek Tripathi, Igor Puzanov, Susanne M. Arnold, Michelle L. Churchman, Patrick Hwu, Jose Conejo-Garcia, William S. Dalton, George J. Weiner, Ahmad A. Tarhini
Institutions: Moffitt Cancer Center, University of Iowa, The Ohio State University, University of Virginia, University of Colorado Cancer Center, University of Southern California, University of Utah, Huntsman Cancer Institute, University of Oklahoma, OU Health Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Roswell Park Comprehensive Cancer Center, University of Kentucky, University of Iowa Hospitals and Clinics, University of Iowa Health Care, University of Iowa Holden Comprehensive Cancer Center
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: closed
OpenAlex ID: W4286294112