Call for Papers: Biophysical Models in Clinical Radiation Oncology

Call for Papers: Biophysical Models in Clinical Radiation Oncology

Introduction

Biophysical Models in Clinical Oncology establish essential scientific foundations for contemporary radiotherapy by creating numerical connections between radiation dose and biological response. Through advances in radiobiological modelling in radiotherapy, researchers and clinicians can now better understand tumour control and normal tissue toxicity and treatment outcomes, which occur across multiple biological scales.

The latest advancements in modelling methods, which include tumour control probability models, tissue complication probability models and the linear quadratic model for radiotherapy, have delivered better treatment optimisation results and more accurate outcome predictions. The systems enable better assessment of radiation effects, which helps develop customised radiotherapy plans that match specific patient needs.

The special issue of Zeitschrift für Medizinische Physik titled “Biophysical Models in Clinical Radiation Oncology” invites high-quality original research reviews and perspectives that advance biologically informed radiotherapy while strengthening the translation of modelling innovations into clinical practice.

Scope

The special issue examines models in clinical radiation oncology, which are developed through research and practical implementation. The submission should demonstrate new progress in Radiobiological modeling in radiotherapy that provides better treatment planning and risk assessment, and therapeutic decision-making in radiotherapy.

We welcome studies addressing predictive modelling approaches such as tumour control probability models and tissue complication probability models, as well as investigations into the refinement and application of the linear quadratic model in radiotherapy. The research team particularly welcome studies that use imaging and genomics together with computational data to improve personalised radiotherapy planning.

The issue also seeks contributions that examine model validation and uncertainty quantification together with the clinical implementation of modelling frameworks that support biologically guided and patient-specific radiotherapy strategies.

Know More About This Issue

The development of Biophysical Models in Radiation Oncology has created new methods for designing and assessing radiation therapy treatments. Clinicians use the combination of radiobiological knowledge and computational modelling to forecast how tumours will respond to treatment, evaluate potential side effects and develop better treatment plans.

The development of new radiobiological models for radiotherapy treatment now enables scientists to investigate how radiation interacts with molecular targets and cellular structures. Clinicians use advanced tumor control probability models together with tissue complication probability models to make predictions about patient outcomes. The linear quadratic model, together with its associated frameworks in radiotherapy, continues to evolve, which leads to improved patient treatment planning through precise and flexible methods.  

Personalized radiotherapy planning relies on these advancements to achieve maximum treatment benefits while reducing patient side effects. The special issue presents research that establishes better precision in radiation oncology through advanced modelling techniques.

Biophysical Models

Key Themes

Researchers are invited to submit manuscripts addressing, but not limited to, the following themes:

  • The Biophysical Models used in Clinical Radiation Oncology have been developed through their clinical testing process.
  • The field of radiobiological modelling has made progress in its development through its research work, which extends from molecular research to cellular studies and clinical investigations of radiotherapy.
  • Tumour control probability models have been developed through their design process and their validation work for predicting patient outcomes.
  • The process of creating normal tissue complication probability models needs continuous development work to improve their accuracy.
  • The linear quadratic model serves multiple functions in radiotherapy through its different applications and its various model extensions.
  • The research team creates modelling frameworks that combine three elements: imaging data, genomic information, and computational resources.
  • The research study develops methods that enable doctors to create treatment plans according to individual patient needs and that support their treatment delivery processes.
  • The research study needs to perform three main tasks, which include model validation, uncertainty analysis, and clinical implementation.
  • The research study creates multi-scale models to understand how radiation affects different biological systems and results in specific treatment outcomes.
  • The field of radiation oncology uses decision-support systems together with predictive analytics tools to enhance its operations.

    • How We Support Your Submission

    Research articles submitted to medical physics journals with high impact must demonstrate exceptional conceptual understanding, thorough research methods and clinical application value. The PhD Assistance Research Lab provides complete manuscript development services for researchers studying Biophysical Models in Radiation Oncology and their associated fields.

  • Academic editing and manuscript refinement for clarity and precision
  • Guidance on modelling frameworks, study design and methodology alignment
  • Support in integrating radiobiological imaging and computational data
  • Structural and language enhancement for international publication standards
  • Assistance with journal formatting, referencing and submission requirements
  • Support in responding to reviewer comments and revising manuscripts
  • Expert guidance to meet peer-review and publication expectations

    • Journal Guidelines:

  • The manuscripts need to present original research which should not be considered for publication at any other site.
  • The complete work requires approval from all authors who must also reveal any potential conflicts of interest.
  • The submission process requires strict adherence to the journal’s official Guide for Authors.
  • The submission process requires authors to use the Editorial Manager® system for their manuscript submission.
  • Authors need to choose “VSI: Biophysical Models” as their article type when they submit their work.
  • The process requires all submissions to be examined through a strict peer review, which needs two separate expert reviewers for evaluation.

    • Important Dates

    Submission Deadline: 01 October 2026

    To ensure successful and timely submission to the special issue “Biophysical Models in Clinical Radiation Oncology,” researchers are encouraged to leverage the expert services of the PhD Assistance Research Lab, offering comprehensive support from conceptualisation to final manuscript submission within the specified deadline.

    Free Guide: How to Write the Journal Manuscript

    Book a free consultation to get guidance from PhD assistance research lab for writing a credible research manuscript and submitting it in the high-quality journal.

    Reference

    Schneider, U., & Unterkirhers, S. (Guest Eds.). (2026). Call for papers: Biophysical models in clinical radiation oncology. Zeitschrift für Medizinische Physik. Elsevier. https://www.elsevier.com/journals/zeitschrift-fur-medizinische-physik/0939-3889

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