Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm
The challenge of modelling cancer presents a major opportunity to improve our ability to
reduce mortality from malignant neoplasms, improve treatments and meet the demands
associated with the individualization of care needs. This is the central motivation behind the
ContraCancrum project. By developing integrated multi-scale cancer models,
ContraCancrum is expected to contribute to the advancement of in silico oncology through
the optimization of cancer treatment in the patient-individualized context by simulating the …
reduce mortality from malignant neoplasms, improve treatments and meet the demands
associated with the individualization of care needs. This is the central motivation behind the
ContraCancrum project. By developing integrated multi-scale cancer models,
ContraCancrum is expected to contribute to the advancement of in silico oncology through
the optimization of cancer treatment in the patient-individualized context by simulating the …
[PDF][PDF] Clinically driven design of multi-scale cancer models: the
SB May, T Wang, Y Zhao, M Karasek, R Grewer… - Citeseer
The challenge of modelling cancer presents a major opportunity to improve our ability to
reduce mortality from malignant neoplasms, improve treatments and meet the demands
associated with the individualization of care needs. This is the central motivation behind the
ContraCancrum project. By developing integrated multi-scale cancer models,
ContraCancrum is expected to contribute to the advancement of in silico oncology through
the optimization of cancer treatment in the patient-individualized context by simulating the …
reduce mortality from malignant neoplasms, improve treatments and meet the demands
associated with the individualization of care needs. This is the central motivation behind the
ContraCancrum project. By developing integrated multi-scale cancer models,
ContraCancrum is expected to contribute to the advancement of in silico oncology through
the optimization of cancer treatment in the patient-individualized context by simulating the …
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