Agent-based modeling of cellular dynamics in adoptive cell therapy.

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Bibliographic Details
Title: Agent-based modeling of cellular dynamics in adoptive cell therapy.
Authors: Wang Y; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Casarin S; Center for Precision Surgery, Houston Methodist Research Institute, Houston, TX, USA.; Department of Surgery, Houston Methodist Hospital, Houston, TX, USA.; LaSIE, UMR 7356 CNRS, La Rochelle Université, La Rochelle, France., Daher M; Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Mohanty V; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Dede M; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Shanley M; Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Dondossola E; Division of Cancer Medicine, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., La Posta L; Division of Cancer Medicine, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Başar R; Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Rezvani K; Department of Stem Cell Transplantation and Cellular Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA., Chen K; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. kchen3@mdanderson.org.
Source: Communications biology [Commun Biol] 2026 Feb 11; Vol. 9 (1). Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group UK Country of Publication: England NLM ID: 101719179 Publication Model: Electronic Cited Medium: Internet ISSN: 2399-3642 (Electronic) Linking ISSN: 23993642 NLM ISO Abbreviation: Commun Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2399-3642
DOI:10.1038/s42003-026-09653-4