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Nonlinear modelling of cancer: bridging the gap between cells and tumours
J. S. Lowengrub
, H. B. Frieboes
, F. Jin
, Y-L. Chuang
, X. Li
, P. Macklin
, S. M. Wise
, V. Cristini
Research output
:
Contribution to journal
›
Article
›
peer-review
489
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Keyphrases
Tumor
100%
Nonlinear Modeling
100%
Mathematical Modeling
60%
Genetic mutation
20%
Tumor Progression
20%
Metastasis
20%
Avascular Growth
20%
Growth Phase
20%
Multiscale Modeling
20%
Vasculature
20%
Angiogenesis
20%
Mathematical Simulation
20%
Technological Progress
20%
Cell Death
20%
Growth Factors
20%
Tumor Cells
20%
Tumor Morphology
20%
Multiple Time Scales
20%
Clinical Observation
20%
Fingering
20%
Tumourigenesis
20%
Tumor Vascularization
20%
Clinical Prognosis
20%
Hypoxia
20%
Invasiveness
20%
Tumor Mass
20%
Cell Scale
20%
Discrete Modeling
20%
Selection Pressure
20%
Physiological Condition
20%
Growth Onset
20%
Acidosis
20%
Multiple Spatial Scales
20%
Disease Initiation
20%
Transport Limitation
20%
Tumor Tissue
20%
Therapy Models
20%
Continuum Approach
20%
Nutrient Factors
20%
Medical Progress
20%
Morphological Stability
20%
Scientific Advances
20%
Surrounding Tissue
20%
Cell Survival Rate
20%
Immune System Interaction
20%
Hybrid Modeling Framework
20%
Biochemistry, Genetics and Molecular Biology
Gene Mutation
100%
Tumor Progression
100%
Angiogenesis
100%
Vascularization
100%
Cell Death
100%
Morphology
100%
Growth Factor
100%
Carcinogenesis
100%
Tumor Vascularization
100%
Material Science
Morphology
100%
Cell Death
100%