A digital platform for the design of patient-centric supply chains

被引:5
|
作者
Triantafyllou, Niki [1 ,2 ]
Bernardi, Andrea [1 ,2 ]
Lakelin, Matthew [3 ]
Shah, Nilay [1 ,2 ]
Papathanasiou, Maria M. [1 ,2 ]
机构
[1] Imperial Coll London, Sargent Ctr Proc Syst Engn, London SW7 2AZ, England
[2] Imperial Coll London, Dept Chem Engn, London SW7 2AZ, England
[3] TrakCel Ltd, 10-11 Raleigh Walk, Cardiff CF10 4LN, Wales
基金
英国工程与自然科学研究理事会;
关键词
CONTINUOUS-TIME FORMULATION; OPTIMIZATION FRAMEWORK; GENERAL ALGORITHM; BATCH-OPERATIONS; EFFICIENT; MODEL; MANAGEMENT; NETWORK; PLANTS;
D O I
10.1038/s41598-022-21290-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Chimeric Antigen Receptor (CAR) T cell therapies have received increasing attention, showing promising results in the treatment of acute lymphoblastic leukaemia and aggressive B cell lymphoma. Unlike typical cancer treatments, autologous CAR T cell therapies are patient-specific; this makes them a unique therapeutic to manufacture and distribute. In this work, we focus on the development of a computer modelling tool to assist the design and assessment of supply chain structures that can reliably and cost-efficiently deliver autologous CAR T cell therapies. We focus on four demand scales (200, 500, 1000 and 2000 patients annually) and we assess the tool's capabilities with respect to the design of responsive supply chain candidate solutions while minimising cost.
引用
收藏
页数:14
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