Work

Meta-analysis of Individual Patient-level Data for a Multimodal Artificial Intelligence Biomarker in High-risk Prostate Cancer: Results from Six NRG/RTOG Phase 3 Randomized Trials

Year: 2024

Type: review

Source: European Urology

DOI: 10.1016/j.eururo.2024.06.019

Authors: Daniel E. Spratt, Vinnie Y.T. Liu, Angela Y. Jia, Trevor J. Royce, Howard M. Sandler, Stephanie L. Pugh, Phuoc T. Tran, Felix Y. Feng

Institutions: University Hospitals Seidman Cancer Center, Case Western Reserve University, Cedars-Sinai Medical Center, American College of Radiology, NRG Oncology, University of Maryland, Baltimore, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, University of California, San Francisco

Language: English

Topic: Prostate Cancer Diagnosis and Treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Prostate Cancer Foundation, Bristol-Myers Squibb, Pfizer, Sanofi, NRG Oncology, National Institutes of Health, National Cancer Institute

Awards: G1224644674, G1291646684, G135985217, G2345264100, Integrating bioinformatics into multiscale models for hepatocellular carcinoma, NRG Oncology Network Group Operations Center, G434901823, G467764903, G565539372, G6062084349, Bioinformatic-Chemical Approach to Credential Molecular Targets to Combat Rapid Chemo-Radiation Resistance in SCLC, G7286866123, G815495650, G8266551763, G8269574455, G9000033067, G9000034390, G9000043491

OpenAlex ID: W4400720329

FWCI: 1.553

Cites: 7

Cited by: 13

Related to: 10