Allogeneic CAR T cell therapies could be a robust alternative to their autologous counterpart as the main raw material (cells) can be off-the-shelf, as it is provided in advance by a compatible donor. This can alleviate risks associated to highly distributed upstream of the supply chain and lead to decreased transport/storage risks. Although no allogeneic CAR T formulation is available yet, a potential approval of such therapies could create a step change in personalised treatments. In this work, we develop Mixed Integer Linear Programming (MILP) models to compare allogeneic and autologous CAR T cell therapy supply chain networks. We investigate different network configurations with increased level of distribution, and we assess their performance with respect to: (a) cost, (b) scalability and (c) total return time of the therapy.
Acknowledgments
Funding from the UK Engineering & Physical Sciences Research Council (EPSRC) for the Future Targeted Healthcare Manufacturing Hub hosted at University College London with UK university partners is gratefully acknowledged (Grant Reference: EP/P006485/1). Financial and in-kind support from the consortium of industrial users and sector organisations is also acknowledged.
References
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See more of this Group/Topical: Computing and Systems Technology Division