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AI-based morphologic model for prediction of individual patient response to immune checkpoint inhibitors for bladder cancer.

Year: 2024

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2024.42.4_suppl.686

Authors: Monica Nair, Ross Liao, Parag Jain, Chensu Xie, Hassan Muhammad, Wei Huang, Hirak S Basu, George Wilding, Rajat Roy, C. Marcela Diaz-Montero, Tae Hyun Hwang, Scott Dawsey, Jane Nguyen, Eric A. Klein, Shilpa Gupta, Omar Y. Mian

Institutions: Cleveland Clinic, Cleveland Clinic Lerner College of Medicine, University of Wisconsin–Madison, Cleveland Clinic Research, Mayo Clinic in Florida

Language: English

Topic: AI in cancer detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funder: U.S. Department of Defense

OpenAlex ID: W4391302507

Cites:

Cited by: 1

Related to: 10