[HTML][HTML] Improving immunovirotherapies: the intersection of mathematical modelling and experiments

CE Engeland, JPW Heidbuechel, RP Araujo… - ImmunoInformatics, 2022 - Elsevier
Combined oncolytic virotherapy and immunotherapy (immunovirotherapy) protocols
represent a promising treatment strategy for a range of cancers and offer many advantages …

Intelligent solution predictive networks for non-linear tumor-immune delayed model

N Anwar, I Ahmad, AK Kiani, M Shoaib… - Computer Methods in …, 2024 - Taylor & Francis
In this article, we analyze the dynamics of the non-linear tumor-immune delayed (TID) model
illustrating the interaction among tumor cells and the immune system (cytotoxic T …

[HTML][HTML] A study on cancer-obesity-treatment model with quadratic optimal control approach for better outcomes

K Dehingia, SW Yao, K Sadri, A Das, HK Sarmah… - Results in Physics, 2022 - Elsevier
In this study, we propose a cancer-obesity-treatment model under the control parameters: IL-
2 therapy, ACI therapy, and nutritional diet. We analyze the proposed model and examine …

Calibration of agent based models for monophasic and biphasic tumour growth using approximate Bayesian computation

X Wang, AL Jenner, R Salomone, DJ Warne… - Journal of Mathematical …, 2024 - Springer
Agent-based models (ABMs) are readily used to capture the stochasticity in tumour
evolution; however, these models are often challenging to validate with experimental …

[PDF][PDF] Stability analysis of a targeted chemotherapy-cancer model

A Das, K Dehingia, N Ray… - … Modelling and Control, 2023 - aimspress.com
* Correspondence: Email: kaushikdehingia17@ gmail. com Abstract: This study addresses a
modified mathematical model of tumor growth with targeted chemotherapy consisting of …

[PDF][PDF] Calibration of a Voronoi cell-based model for tumour growth using approximate Bayesian computation

X Wang, AL Jenner, R Salomone, C Drovandi - bioRxiv, 2022 - scholar.archive.org
Agent-based models (ABMs) are readily used to capture the stochasticity in tumour
evolution; however, these models can pose a challenge in terms of their ability to be …

Calibration of Agent Based Models for Monophasic and Biphasic Tumour Growth using Approximate Bayesian Computation

X Wang, AL Jenner, R Salomone, DJ Warne… - bioRxiv, 2022 - biorxiv.org
Agent-based models (ABMs) are readily used to capture the stochasticity in tumour
evolution; however, these models are often challenging to validate with experimental …

Exploring the Role of OR/MS in Cancer Research

A Teixeira, R Almeida - International Conference on Optimization …, 2023 - Springer
This study aims to explore and analyze the significant role of Operations Research/
Management Science (OR/MS) in the field of cancer research. The purpose of this work is to …

Performance of a linear controller in the nonlinear model of drug and virus delivery in cancer chemovirotherapy: A comparison between continuous and discrete …

M Mobaraki, H Moradi - Scientia Iranica, 2023 - scientiairanica.sharif.edu
Best cancer treatment is the one which reduces the tumor's density in minimum time with
less side effects, considering the input limitations. In this paper, a tracking controller was …

Imaging Techniques, Biomarkers, and Methods for Metronomic Chemotherapy

MA Mir, T Javed, A Shabir, N Jan - Novel Approaches in Metronomic … - taylorfrancis.com
It has long been understood that administering chemotherapy at a metronomic pace has a
greater, more distinct biological impact than doing so at a maximally tolerated dose (MTD) …