Closed loop control systems for optimisation of treatment

针对个体患者进行优化和个性化的治疗可以显着改善一系列医疗条件的结果。闭环控制方法包括持续监测关键临床参数，并根据数学模型调整治疗。大规模计算机能力、高灵敏度、特异性和灵活性的传感器以及可精细滴定的治疗方法的出现，最终使闭环控制系统在医疗领域实现了革命性的飞跃。现在可能遇到的挑战包括：为癌症患者提供治疗，对危重（或受伤）患者的即时管理，以及慢性伤口的加速愈合。我们建议成立一个由学者，临床医生和工业家组成的多学科团队，由利益相关者支持，以应对这些挑战。该网络的第一年涉及将社区聚集在一起，举办一系列大挑战研讨会，以制定路线图。在技术或知识方面存在差距的领域将通过8项可行性研究或借调来解决，这些研究或借调将在第2年和第3年进行，并将为重大挑战资金申请提供概念数据证明。这些更大的资金申请将与可行性研究同时进行。

A treatment that is optimised and personalised to the individual patient can significantly improve outcomes across a range of medical conditions. The closed-loop control approach involves continuously monitoring key clinical parameters and, informed by mathematical models, adapting treatment. The advent of massive computer power, highly sensitive, specific and flexible sensors, and finely-titratable treatments has finally allowed closed-loop control systems to offer a revolutionary leap in medical treatment. Examples of challenges that might now be met include: the delivery of treatment to cancer patients, the moment-to-moment management of critically ill (or injured) patients, and the accelerated healing of chronic wounds. We propose the formation of a multidisciplinary team comprising academics, clinicians and industrialists, supported by stakeholders, to address these challenges. The first year of the network involves bringing together the community in a series of Grand Challenge Workshops to establish a roadmap. Areas where there are gaps in technology or knowledge will be addressed by eight feasibility studies or secondments that will run during years 2 and 3 and will provide proof of concept data for grand challenge funding applications. These larger funding applications will be developed in parallel to the feasibility studies.