Executable cancer models: successes and challenges
Making decisions on how best to treat cancer patients requires the integration of different
data sets, including genomic profiles, tumour histopathology, radiological images, proteomic …
data sets, including genomic profiles, tumour histopathology, radiological images, proteomic …
An advanced discrete state–discrete event multiscale simulation model of the response of a solid tumor to chemotherapy: Mimicking a clinical study
GS Stamatakos, EA Kolokotroni, DD Dionysiou… - Journal of theoretical …, 2010 - Elsevier
In this paper an advanced, clinically oriented multiscale cancer model of breast tumor
response to chemotherapy is presented. The paradigm of early breast cancer treated by …
response to chemotherapy is presented. The paradigm of early breast cancer treated by …
Multiscale cancer modeling
Simulating cancer behavior across multiple biological scales in space and time, ie,
multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine …
multiscale cancer modeling, is increasingly being recognized as a powerful tool to refine …
Multiscale mathematical modelling in biology and medicine
MAJ Chaplain - IMA Journal of Applied Mathematics, 2011 - ieeexplore.ieee.org
Cancer is one of the major causes of death in the world (particularly the developed world),
with around 11 million people diagnosed and around 7 million people dying each year. The …
with around 11 million people diagnosed and around 7 million people dying each year. The …
Towards in silico oncology: adapting a four dimensional nephroblastoma treatment model to a clinical trial case based on multi-method sensitivity analysis
In the past decades a great progress in cancer research has been made although medical
treatment is still widely based on empirically established protocols which have many …
treatment is still widely based on empirically established protocols which have many …
In Silico Oncology: Quantification of the In Vivo Antitumor Efficacy of Cisplatin-Based Doublet Therapy in Non-Small Cell Lung Cancer (NSCLC) through a Multiscale …
E Kolokotroni, D Dionysiou, C Veith… - PLoS Computational …, 2016 - journals.plos.org
The 5-year survival of non-small cell lung cancer patients can be as low as 1% in advanced
stages. For patients with resectable disease, the successful choice of preoperative …
stages. For patients with resectable disease, the successful choice of preoperative …
Personalizing oncology treatments by predicting drug efficacy, side‐effects, and improved therapy: mathematics, statistics, and their integration
Z Agur, M Elishmereni, Y Kheifetz - … Reviews: Systems Biology …, 2014 - Wiley Online Library
Despite its great promise, personalized oncology still faces many hurdles, and it is
increasingly clear that targeted drugs and molecular biomarkers alone yield only modest …
increasingly clear that targeted drugs and molecular biomarkers alone yield only modest …
Toward predictive multiscale modeling of vascular tumor growth: computational and experimental oncology for tumor prediction
New directions in medical and biomedical sciences have gradually emerged over recent
years that will change the way diseases are diagnosed and treated and are leading to the …
years that will change the way diseases are diagnosed and treated and are leading to the …
Toward improved models of human cancer
BE Welm, C Vaklavas, AL Welm - APL bioengineering, 2021 - pubs.aip.org
Human cancer is a complex and heterogeneous collection of diseases that kills more than
18 million people every year worldwide. Despite advances in detection, diagnosis, and …
18 million people every year worldwide. Despite advances in detection, diagnosis, and …
[图书][B] The role of model integration in complex systems modelling: An example from cancer biology
M Patel, S Nagl - 2010 - books.google.com
Model integration–the process by which different modelling efforts can be brought together
to simulate the target system–is a core technology in the field of Systems Biology. In the work …
to simulate the target system–is a core technology in the field of Systems Biology. In the work …