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Personalized radiotherapy doses from the integration of mathematical oncology and machine learning

Year: 2025

Type: article

Source: Radiotherapy and Oncology

DOI: 10.1016/j.radonc.2025.110902

Authors: Mohammad U. Zahid, Heiko Enderling

Institution: The University of Texas MD Anderson Cancer Center

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Cancer Institute

Award: Predict radiation-induced shifts in patient-specific tumor immune ecosystem composition to harness immunological consequences of radiotherapy

OpenAlex ID: W4409799188

FWCI:

Cites: 13

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Related to: 10