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 …
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] 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 …
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 …
[KSIĄŻKA][B] Mathematical modeling of biological pattern formation
A Deutsch, S Dormann - 2005 - Springer
In this chapter we have presented mathematical modeling approaches to biological pattern
formation. While reaction-diffusion models are appropriate to describe the spatio-temporal …
formation. While reaction-diffusion models are appropriate to describe the spatio-temporal …
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 …
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 …
Non-coding RNAs in glioma
R Rynkeviciene, J Simiene, E Strainiene… - Cancers, 2018 - mdpi.com
Glioma is the most aggressive brain tumor of the central nervous system. The ability of
glioma cells to migrate, rapidly diffuse and invade normal adjacent tissue, their sustained …
glioma cells to migrate, rapidly diffuse and invade normal adjacent tissue, their sustained …
Personalized radiotherapy design for glioblastoma: integrating mathematical tumor models, multimodal scans, and Bayesian inference
Glioblastoma (GBM) is a highly invasive brain tumor, whose cells infiltrate surrounding
normal brain tissue beyond the lesion outlines visible in the current medical scans. These …
normal brain tissue beyond the lesion outlines visible in the current medical scans. These …