Work

Abstract A031: Prospective and clinical prediction in a retrospective trial that experimentally validated an AI/ML-derived whole-genome predictor as the most accurate and precise predictor of survival and response to treatment in glioblastoma

Year: 2024

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.brain23-a031

Authors: Sri Priya Ponnapalli, Penelope Miron, Kristy L. S. Miskimen, Kristin A. Waite, Nadiya Sosonkina, Sara E. Coppens, Anthony C. Bryan, Estevan P. Kiernan, Huanming Yang, Jay Bowen, Ghunwa A. Nakouzi, Jill S. Barnholtz-Sloan, Andrew E. Sloan, Tiffany R. Hodges, Orly Alter

Institutions: University of Utah, Case Western Reserve University, National Cancer Institute, Nationwide Children's Hospital, Abigail Wexner Research Institute, Illumina (United States), BGI Group (China), BGI Genomics, Piedmont Atlanta Hospital

Language: English

Topic: Glioma Diagnosis and Treatment

Subfield: Genetics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4392372708

Cites:

Cited by: 1

Related to: 10