Work

The Need to Enrich Population Diversity in Radiogenomic Research

Year: 2024

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2024.06.012

Authors: Barry S. Rosenstein, Kosj Yamoah, Søren M. Bentzen, Sarah L. Kerns, J. Tyson McDonald, Catharine M.L. West, Ana Vega, Tim Rattay, Luisel J. Ricks-Santi

Institutions: Icahn School of Medicine at Mount Sinai, Moffitt Cancer Center, University of Maryland, Baltimore, University of Maryland Marlene and Stewart Greenebaum Comprehensive Cancer Center, Medical College of Wisconsin, SRI International, University of Manchester, The Christie NHS Foundation Trust, Fundación Pública Galega de Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago, University of Leicester, University of Florida

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed

Funder: National Cancer Institute

Award: Germline Genetic Modifiers of Radiation Response

OpenAlex ID: W4403463186

FWCI: 0.508

Cites: 21

Cited by: 2

Related to: 10