From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling

H Wang, T Arulraj, A Ippolito, AS Popel - NPJ Digital Medicine, 2024 - nature.com
Virtual patients and digital patients/twins are two similar concepts gaining increasing
attention in health care with goals to accelerate drug development and improve patients' …

Trial watch: intratumoral immunotherapy

J Humeau, J Le Naour, L Galluzzi, G Kroemer… - …, 2021 - Taylor & Francis
While chemotherapy and radiotherapy remain the first-line approaches for the management
of most unresectable tumors, immunotherapy has emerged in the past two decades as a …

COVID-19 virtual patient cohort suggests immune mechanisms driving disease outcomes

AL Jenner, RA Aogo, S Alfonso, V Crowe… - PLoS …, 2021 - journals.plos.org
To understand the diversity of immune responses to SARS-CoV-2 and distinguish features
that predispose individuals to severe COVID-19, we developed a mechanistic, within-host …

Immunovirotherapy based on recombinant vesicular stomatitis virus: where are we?

Y Zhang, BM Nagalo - Frontiers in immunology, 2022 - frontiersin.org
Vesicular stomatitis virus (VSV), a negative-strand RNA virus of the Vesiculovirus genus, has
demonstrated encouraging anti-neoplastic activity across multiple human cancer types. VSV …

[HTML][HTML] Treatment of evolving cancers will require dynamic decision support

MAR Strobl, J Gallaher, M Robertson-Tessi, J West… - Annals of …, 2023 - Elsevier
Highlights•Cancer is a heterogeneous and evolving disease, yet most drugs are
administered to simply give the maximum dose.•Treatment scheduling currently ignores the …

Agent-based computational modeling of glioblastoma predicts that stromal density is central to oncolytic virus efficacy

AL Jenner, M Smalley, D Goldman, WF Goins… - Iscience, 2022 - cell.com
Oncolytic viruses (OVs) are emerging cancer immunotherapy. Despite notable successes in
the treatment of some tumors, OV therapy for central nervous system cancers has failed to …

A practical guide for the generation of model-based virtual clinical trials

M Craig, JL Gevertz, I Kareva, KP Wilkie - Frontiers in Systems Biology, 2023 - frontiersin.org
Mathematical modeling has made significant contributions to drug design, development, and
optimization. Virtual clinical trials that integrate mathematical models to explore patient …

Assessment of clinical response to v937 oncolytic virus after intravenous or intratumoral administration using physiologically‐based modeling

ZP Parra‐Guillen, A Sancho‐Araiz… - Clinical …, 2023 - Wiley Online Library
Oncolytic viruses (OVs) represent a potential therapeutic strategy in cancer treatment.
However, there is currently a lack of comprehensive quantitative models characterizing …

Improving multiple-try Metropolis with local balancing

P Gagnon, F Maire, G Zanella - Journal of Machine Learning Research, 2023 - jmlr.org
Multiple-try Metropolis (MTM) is a popular Markov chain Monte Carlo method with the
appealing feature of being amenable to parallel computing. At each iteration, it samples …

A continuation technique for maximum likelihood estimators in biological models

T Cassidy - Bulletin of Mathematical Biology, 2023 - Springer
Estimating model parameters is a crucial step in mathematical modelling and typically
involves minimizing the disagreement between model predictions and experimental data …