Advancements in Technologies for Radiation Biology, Oncology, and Protection
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: 30 June 2025 | Viewed by 48
Special Issue Editors
Interests: receptor tyrosine kinases; EGFR; signal transduction; cancer therapy; breast cancer treatment; targeted therapy
Special Issues, Collections and Topics in MDPI journals
2. Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
Interests: cancer therapy; radiation therapy; targeted therapy; immune checkpoint therapy; low dose radiation; hypoxia; microenvironment; cell signaling; radiation protection; biodosimetry; high-throughput analysis; artificial intelligence and machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue seeks to highlight cutting-edge research at the intersection of radiation biology, oncology, and protection. As the understanding of cancer biology deepens, the role of radiation as both a therapeutic tool and a factor in cancer etiology—one of the major health outcomes of radiation exposure—becomes increasingly significant. This Special Issue aims to showcase innovative technologies that advance our knowledge in radiation-induced carcinogenesis, enhance radiation protection strategies, and improve therapeutic outcomes in oncology. We particularly encourage contributions that explore novel methodologies, interdisciplinary approaches, and the translation of research into clinical practice.
Areas of emerging technologies and innovative research of interest include, but are not limited to, the following:
- Multi-omics research and big data analytics;
- Systems biology and the integration of multi-omics approaches;
- AI and deep learning in radiation research;
- Radiomics and new imaging technologies in radiotherapy planning;
- Advancements in radiotherapy, such as image-guided, proton/heavy ion, or FLASH radiotherapy;
- Synthetic biology integration and targeted alpha therapy;
- New radiation-induced biomarker development and biodosimetry;
- Individual radiation sensitivity and personalized biodosimetry;
- Adverse outcome pathway (AOP) research;
- Benchmark dose modeling.
The objective of this Special Issue is to spotlight new developments and innovations in the field, fostering collaboration and communication among radiobiologists, radiation oncologists, and medical physicists.
Prof. Dr. Zhixiang Wang
Dr. Yi Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- radiation biology
- oncology
- radiation protection
- carcinogenesis
- multi-omics
- radiomics
- radiotherapy
- biodosimetry
- adverse outcome pathway (AOP)
- personalized medicine
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