UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

A Computational Pipeline to Optimize 3D Scaffolds for Cancer Immunotherapy

Todd, L; Chin, M; Coppens, MO; (2023) A Computational Pipeline to Optimize 3D Scaffolds for Cancer Immunotherapy. In: Computer Aided Chemical Engineering. (pp. 2705-2710). Elsevier

[thumbnail of ToddChinCoppens_ESCAPE33.pdf] Text
ToddChinCoppens_ESCAPE33.pdf - Published Version
Access restricted to UCL open access staff

Download (914kB)

Abstract

Cancer diagnostic and treatment research continue to expand at unprecedented rates with new and promising discoveries being published regularly. However, within the realm of exciting cancer treatment improvements often lays the overlooked need for streamlined engineering systems and efficient data analytical methods. This research looks to achieve both in the framework of improving the ex vivo T-cell culturing environment required for Adoptive Cell Transfer (ACT) cancer immunotherapy. A unique set of Nature Inspired Solutions (Coppens, 2021) was applied to design and analyze 9600, unique, 3D Voronoi scaffolds as potential cell culturing environments. The streamlined design process involved a complex combination of computer languages and platforms and yet, was able to design and calculate various physical parameters of the 9600 scaffolds in just a few hours. To efficiently analyze and process the scaffolds, a novel systems engineering web-based networking software (the 4D Kauffman Fitness Network) was designed. This software integrates both key geometrical characteristics of the scaffolds (such as porosity, surface area and average mean curvature) and biological aspects related to the cells (such as proliferation rate). During testing, this software efficiently processed the 9600 scaffolds in under 20 s, designing a wide variety of networks which filtered the scaffolds selected for future wet lab testing. The highly adaptable and accessible nature of this software provides multiple potential applications in a wide range of scientific, data management and business sectors.

Type: Book chapter
Title: A Computational Pipeline to Optimize 3D Scaffolds for Cancer Immunotherapy
ISBN-13: 9780443152740
DOI: 10.1016/B978-0-443-15274-0.50430-3
Publisher version: https://doi.org/10.1016/B978-0-443-15274-0.50430-3
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10196946
Downloads since deposit
36Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item