Histomics as an emerging avenue for oncology biomarker development: Computational Histology Artificial Intelligence (CHAI) analysis of The Cancer Genome Atlas (TCGA).
Year: 2026
Type: conference-abstract
Source: Journal of Clinical Oncology
Authors: Richard M. Goldberg, Neeraj Agarwal, Sumanta Kumar Pal, Vrishab Krishna, Viswesh Krishna, Gaurav Kaul, Akshay Neema, Asit Tarsode, Haochen Zhang, Ekin Tiu, Lesli Ann Kiedrowski, Trevor Royce, Anirudh Joshi, Charu Aggarwal, Sue S. Yom, Lin Shen, Andrew Hendifar, Eric Andrew Collisson, Ashish M. Kamat, John M. Kirkwood
Institutions: West Virginia University, University of Utah, Huntsman Cancer Institute, City Of Hope National Medical Center, Wake Forest University Health Sciences, Wake Forest University, University of Pennsylvania, University of California, San Francisco, Peking University Cancer Hospital, Cedars-Sinai Medical Center, Fred Hutch Cancer Center, The University of Texas MD Anderson Cancer Center, UPMC Health System, UPMC Hillman Cancer Center, University of Pittsburgh Medical Center
Language: English
Topic: AI in cancer detection
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7162699360
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