Capítulo de Libro
What should be modeled in cancer: milestones for physical models
Título del libro: An Introduction to Physical Oncology: How Mechanistic Mathematical Modeling Can Improve Cancer Therapy Outcomes
Fecha de publicación:
2017
Editorial:
CRC Press
ISBN:
978-1466551343
Idioma:
Inglés
Clasificación temática:
Resumen
The field of mathematical oncology is exploding, with increasing efforts directed at laying down the foundation for the phenomena of cancer development, growth, metastases, and response to therapies. This work involves working at multiple spatio-temporal scales. The relative paucity of dynamical data renders many parametrical models challenging and limits their robustness. Concepts from engineering and nonlinear optical systems can be applied to cell signaling in the cancer cell yielding useful models. In this work, we explore the concepts of modularity, retroactivity, and pathway integration and delineate some of the outstanding questions that we believe should be prioritized for modeling in cancer.
Palabras clave:
CANCER
,
BIOPHYSICS
,
MATHEMATICAL ONCOLOGY
,
CELL SIGNALING
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Capítulos de libros(IFIBYNE)
Capítulos de libros de INST.DE FISIOL., BIOL.MOLECULAR Y NEUROCIENCIAS
Capítulos de libros de INST.DE FISIOL., BIOL.MOLECULAR Y NEUROCIENCIAS
Citación
Merajver, Sofia D.; Rosenthal, Devin; Ventura, Alejandra; What should be modeled in cancer: milestones for physical models; CRC Press; 2017; 1-164
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