Innovations in Radiation Oncology
A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 140
Special Issue Editor
Special Issue Information
Dear Colleagues,
The field of radiation oncology has been revolutionized by recent innovations in technology, allowing for increasingly personalized clinical care. Artificial intelligence (AI)-based tools have been leveraged to improve efficiency with auto-contouring and planning, and the use of machine learning has led to improved outcome predictions. Additionally, the advancement of precision medicine has been supported by the recent integration of radiomics, biomarkers such as ctDNA, and genomics in treatment decisions. Furthermore, adaptive radiotherapy and real-time imaging innovations seen with MR-linacs, CBCT-based adaptation and real-time motion monitoring have transformed the way radiation is being delivered. The modern era of radiation has been characterized by the evolution of novel, innovative technology and the goal of this Special Issue is to stimulate research interests in this rapidly transforming landscape with the hope of further personalizing patient care, improving oncologic outcomes, and reshaping clinical radiation oncology.
Dr. Caressa Hui
Guest Editor
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Keywords
- adaptive radiotherapy
- cancer biomarkers
- genomics
- artificial intelligence
- radiation oncology
- machine learning
- precision oncology
- radiogenomics
- ctDNA
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