Nanoparticle-mediated cancer cell therapy: Basic science to clinical applications
Every sixth person in the world dies due to cancer, making it the second leading severe
cause of death after cardiovascular diseases. According to WHO, cancer claimed nearly 10 …
cause of death after cardiovascular diseases. According to WHO, cancer claimed nearly 10 …
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 …
Multi-scale spatial analysis of the tumor microenvironment reveals features of cabozantinib and nivolumab efficacy in hepatocellular carcinoma
Background Concomitant inhibition of vascular endothelial growth factor (VEGF) and
programmed cell death protein 1 (PD-1) or its ligand PD-L1 is a standard of care for patients …
programmed cell death protein 1 (PD-1) or its ligand PD-L1 is a standard of care for patients …
In silico modelling of cancer nanomedicine, across scales and transport barriers
Nanoparticles promise to improve the treatment of cancer through their increasingly
sophisticated functionalisations and ability to accumulate in certain tumours. Yet recent work …
sophisticated functionalisations and ability to accumulate in certain tumours. Yet recent work …
Virtual patients, digital twins and causal disease models: paving the ground for in silico clinical trials
P Moingeon, M Chenel, C Rousseau, E Voisin… - Drug discovery today, 2023 - Elsevier
Highlights•Predictive computational models are useful to complement clinical trials.•Disease
models that infer causality in pathophysiology have been produced.•Quantitative System …
models that infer causality in pathophysiology have been produced.•Quantitative System …
Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model
Quantitative systems pharmacology (QSP) models and spatial agent-based models (ABM)
are powerful and efficient approaches for the analysis of biological systems and for clinical …
are powerful and efficient approaches for the analysis of biological systems and for clinical …
[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …
improving continuously, the complexity and heterogeneity of this group of diseases …
Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images
Background Multiplex immunohistochemistry (mIHC) permits the labeling of six or more
distinct cell types within a single histologic tissue section. The classification of each cell type …
distinct cell types within a single histologic tissue section. The classification of each cell type …
Calibrating agent-based models to tumor images using representation learning
CG Cess, SD Finley - PLoS Computational Biology, 2023 - journals.plos.org
Agent-based models (ABMs) have enabled great advances in the study of tumor
development and therapeutic response, allowing researchers to explore the spatiotemporal …
development and therapeutic response, allowing researchers to explore the spatiotemporal …