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Related Concept Videos

Adaptive Mechanisms in Cancer Cells02:53

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Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
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The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
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A Call for a Collaborative Framework for Automation in Adaptive Radiotherapy.

Songye Cui1,2, Maria F Chan1

  • 1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Technology in Cancer Research & Treatment
|May 2, 2026
PubMed
Summary
This summary is machine-generated.

Adaptive radiotherapy (ART) is complex and resource-intensive. Open-source collaboration and shared frameworks can accelerate ART innovation, making its benefits accessible to more patients.

Keywords:
adaptive radiation therapyautomated planningpersonalized treatmentradiotherapyworkflow efficiency

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Health Informatics

Background:

  • Adaptive radiotherapy (ART) offers improved accuracy but faces scalability challenges due to system complexity and proprietary platforms.
  • Historical advances in radiotherapy, including IMRT, IGRT, MRgRT, and DLinRT, were driven by open collaboration and transparency.
  • Current ART systems often require significant human oversight, limiting widespread adoption.

Purpose of the Study:

  • To advocate for an open-source, collaborative model to accelerate innovation in adaptive radiotherapy (ART).
  • To address the limitations of current ART systems, including resource intensity and lack of scalability.
  • To propose structured frameworks for safe and secure interaction between academic and vendor systems in radiotherapy.

Main Methods:

  • Review of historical radiotherapy advancements and their reliance on open collaboration.
  • Analysis of existing open-source initiatives in radiotherapy research (e.g., CERR, OpenKBP, matRad).
  • Proposal for developing collaborative frameworks for academic-vendor system interaction.

Main Results:

  • Open-source tools and shared methods enhance reproducibility and scientific progress in radiotherapy.
  • Collaborative frameworks can foster co-development and validation while safeguarding intellectual property.
  • Structured transparency and shared accountability can transform ART automation into a collective learning ecosystem.

Conclusions:

  • Returning to an open collaboration model is crucial for accelerating ART innovation.
  • Developing secure, collaborative frameworks is the next critical step for advancing ART.
  • Openness, trust, and collective innovation can extend the benefits of ART to more patients globally.