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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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Updated: Jun 2, 2026

High-throughput Image Analysis of Tumor Spheroids: A User-friendly Software Application to Measure the Size of Spheroids Automatically and Accurately
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Multiscale cancer modeling.

Thomas S Deisboeck1, Zhihui Wang1, Paul Macklin2

  • 1Harvard-MIT (HST) Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, Massachusetts 02129.

Annual Review of Biomedical Engineering
|May 3, 2011
PubMed
Summary
This summary is machine-generated.

Multiscale cancer modeling simulates tumor behavior across different scales, offering valuable insights for cancer research and treatment. This approach integrates various factors and requires interdisciplinary collaboration for clinical application.

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Area of Science:

  • Oncology
  • Computational Biology
  • Systems Biology

Background:

  • Multiscale cancer modeling is gaining recognition as a powerful approach.
  • It aids in refining hypotheses, focusing experiments, and improving prediction accuracy.
  • Existing models provide quantitative insights into cancer initiation, progression, and treatment.

Purpose of the Study:

  • To review recent and significant multiscale cancer modeling works.
  • To highlight models establishing mechanistic links across biological scales.
  • To discuss innovative methods advancing predictive modeling for clinical use.

Main Methods:

  • Integration of biophysical, biochemical, and biomechanical factors.
  • Analysis of recent advancements in multiscale cancer modeling.
  • Discussion of cutting-edge computational and mathematical methods.

Main Results:

  • Successful establishment of mechanistic links between different biological scales in reviewed models.
  • Identification of innovative modeling techniques.
  • Highlighting the need for interdisciplinary collaboration and web-based infrastructure.

Conclusions:

  • Multiscale cancer modeling is crucial for advancing cancer research and treatment.
  • The integration of diverse factors and advanced methods is key to predictive accuracy.
  • Enhanced collaboration and infrastructure are necessary to support the growing field.