Drug resistance has profoundly limited the success of cancer treatment, driving relapse,
metastasis, and mortality. Nearly all anticancer drugs and even novel immunotherapies …

The reliable and effective automation of biomedical therapies is the need of the hour for
medical professionals. A model predictive controller (MPC) has the ability to handle complex …

The COVID-19 pandemic has highlighted the need for finding mathematical models to
forecast the evolution of the contagious disease and evaluate the success of particular …

A mathematical model of tumor-immune system interactions with an oncolytic virus therapy
for which the immune system plays a twofold role against cancer cells is derived. The …

Simple Summary As computer performance continues to grow at more affordable costs,
mathematical modelling and in silico experimentation begin to play a larger role in …

Combining chimeric antigen receptor T (CAR-T) cells with oncolytic viruses (OVs) has
recently emerged as a promising treatment approach in preclinical studies that aim to …

Oncolytic virus therapy aims to eradicate tumours using viruses which only infect and
destroy targeted tumour cells. It is urgent to improve understanding and outcomes of this …

Combined oncolytic virotherapy and immunotherapy (immunovirotherapy) protocols
represent a promising treatment strategy for a range of cancers and offer many advantages …

In this paper, we investigate how natural killer (NK) cell recruitment to the tumor
microenvironment (TME) affects oncolytic virotherapy. NK cells play a major role against …

In a tumour microenvironment, tumour-associated neutrophils could display two opposing
differential phenotypes: anti-tumour (N1) and pro-tumour (N2) effector cells. Converting N2 …