A multiscale model to design therapeutic strategies that overcome drug resistance to tyrosine kinase inhibitors in multiple myeloma

A Bouchnita, V Volpert, MJ Koury, A Hellander - Mathematical biosciences, 2020 - Elsevier
Drug resistance (DR) is a phenomenon characterized by the tolerance of a disease to
pharmaceutical treatment. In cancer patients, DR is one of the main challenges that limit the …

Computational analysis of 5-fluorouracil anti-tumor activity in colon cancer using a mechanistic pharmacokinetic/pharmacodynamic model

C Ma, A Almasan… - PLOS Computational …, 2022 - journals.plos.org
5-Fluorouracil (5-FU) is a standard chemotherapeutic agent to treat solid cancers such as
breast, colon, head, and neck. Computational modeling plays an essential role in predicting …

A review of pharmacological treatment options for lung cancer: Emphasis on novel nanotherapeutics and associated toxicity

CG England, CF Ng, V van Berkel… - Current drug …, 2015 - ingentaconnect.com
Lung cancer remains a leading cause of death. Current treatment options are generally
ineffective, highlighting the dire need for novel approaches. While numerous biologically …

Mathematical modeling and bifurcation analysis for a biological mechanism of cancer drug resistance

K Bao, G Liang, T Tian, X Zhang - Acta Mathematica Scientia, 2024 - Springer
Drug resistance is one of the most intractable issues in targeted therapy for cancer diseases.
It has also been demonstrated to be related to cancer heterogeneity, which promotes the …

Simulation of the protein-shedding kinetics of a fully vascularized tumor

HB Frieboes, LT Curtis, M Wu, K Kani… - Cancer …, 2015 - journals.sagepub.com
Circulating biomarkers are of significant interest for cancer detection and treatment
personalization. However, the biophysical processes that determine how proteins are shed …

Mathematical modelling for the tumour microenvironment (TME) under cellular stress

WMHN Weerasinghe - 2023 - eprints.qut.edu.au
This thesis discovers mathematical modelling techniques that can be applied to the stressful
tumour microenvironment (TME) by developing an agent-based model, systems of ordinary …

An Agent-Based Model of Glioblastoma Infiltration

M Pompa, S Panunzi, A Borri… - 2023 IEEE 23rd …, 2023 - ieeexplore.ieee.org
An Agent-Based Model (ABM) of glioblastoma in-filtration into surrounding healthy brain
tissue is presented. The model incorporates variable cell movement rates and replication …

Investigating two modes of cancer-associated antigen heterogeneity in an agent-based model of chimeric antigen receptor T-cell therapy

T Giorgadze, H Fischel, A Tessier, KA Norton - Cells, 2022 - mdpi.com
Simple Summary Chimeric antigen receptor (CAR) T-cell therapy has shown much promise
in liquid tumors but often fails in solid tumors. This work uses a computational model to …

Tumor ablation due to inhomogeneous anisotropic diffusion in generic three-dimensional topologies

E Kara, A Rahman, E Aulisa, S Ghosh - Physical Review E, 2020 - APS
In recent decades computer-aided technologies have become prevalent in medicine,
however, cancer drugs are often only tested on in vitro cell lines from biopsies. We derive a …

Using agent-based models to scale from individuals to populations

ES Bridge, JD Ross, AJ Contina, JF Kelly - Aeroecology, 2017 - Springer
All aggregate biological phenomena in the aerosphere are due to the behaviors of unique
individuals acting according to their own rules of behavior and perceived external stimuli. An …