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A review of cell-based computational modeling in cancer biology
Cancer biology involves complex, dynamic interactions between cancer cells and their
tissue microenvironments. Single-cell effects are critical drivers of clinical progression …
tissue microenvironments. Single-cell effects are critical drivers of clinical progression …
Tumor cell invasion in glioblastoma
A Vollmann-Zwerenz, V Leidgens, G Feliciello… - International journal of …, 2020 - mdpi.com
Glioblastoma (GBM) is a particularly devastating tumor with a median survival of about 16
months. Recent research has revealed novel insights into the outstanding heterogeneity of …
months. Recent research has revealed novel insights into the outstanding heterogeneity of …
[HTML][HTML] Current and future trends on diagnosis and prognosis of glioblastoma: from molecular biology to proteomics
Glioblastoma multiforme is the most aggressive malignant tumor of the central nervous
system. Due to the absence of effective pharmacological and surgical treatments, the …
system. Due to the absence of effective pharmacological and surgical treatments, the …
[HTML][HTML] Glioblastoma multiforme: the latest diagnostics and treatment techniques
A Czarnywojtek, M Borowska, K Dyrka, S Van Gool… - Pharmacology, 2023 - karger.com
Background: Glioblastoma multiforme (GBM) is a WHO grade 4 glioma and the most
common malignant primary brain tumour. Recently, there has been outstanding progress in …
common malignant primary brain tumour. Recently, there has been outstanding progress in …
Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Digital twins employ mathematical and computational models to virtually represent a
physical object (eg, planes and human organs), predict the behavior of the object, and …
physical object (eg, planes and human organs), predict the behavior of the object, and …
[HTML][HTML] Translating complexity and heterogeneity of pancreatic tumor: 3D in vitro to in vivo models
Pancreatic ductal adenocarcinoma (PDAC) is an extremely aggressive type of cancer with
an overall survival rate of less than 7-8%, emphasizing the need for novel effective …
an overall survival rate of less than 7-8%, emphasizing the need for novel effective …
Mathematical modeling of tumor-immune cell interactions
GE Mahlbacher, KC Reihmer, HB Frieboes - Journal of Theoretical Biology, 2019 - Elsevier
The anti-tumor activity of the immune system is increasingly recognized as critical for the
mounting of a prolonged and effective response to cancer growth and invasion, and for …
mounting of a prolonged and effective response to cancer growth and invasion, and for …
Multiscale agent-based and hybrid modeling of the tumor immune microenvironment
Multiscale systems biology and systems pharmacology are powerful methodologies that are
playing increasingly important roles in understanding the fundamental mechanisms of …
playing increasingly important roles in understanding the fundamental mechanisms of …
[LLIBRE][B] Mathematical modeling of biological pattern formation
A Deutsch, S Dormann, A Deutsch, S Dormann - 2017 - Springer
The application of mathematical models to explain the dynamics of biological pattern
formation started with the work of D'Arcy Thompson who showed that mathematics cannot …
formation started with the work of D'Arcy Thompson who showed that mathematics cannot …
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
We develop a methodology to create data-driven predictive digital twins for optimal risk-
aware clinical decision-making. We illustrate the methodology as an enabler for an …
aware clinical decision-making. We illustrate the methodology as an enabler for an …