Dynamic optimisation of tumor’s dense-dose scheduling via closed-loop control and beyond

通过闭环控制等动态优化肿瘤密集剂量调度

• 批准号: EP/X014266/1
• 负责人: Zehor Belkhatir
• 金额: $ 6.54万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FX014266%2F1
• 关键词: Dynamic; optimisation; tumor; dense; dose

Closed-loop control (CLC) theory is widely used in different industries (robotics, automotive, aerospace, etc.) and to a less extent in clinical settings, despite its success story in the automation of glucose control for diabetic patients through an artificial pancreas. This proposal looks to jointly define a future research agenda driven by inputs from oncological experts (directly and through observation) for the deployment of CLC in decision making for tumour growth control in a heterogeneous environment. This will be presented to the medical and academic communities via multiple channels at the end of this collaborative research. The research proposed herein covers a 12-month preliminary feasibility study enabled by two 2-month periods of collaborative research with the Memorial Sloan Kettering Cancer Centre (MSKCC) in New York, funded by the OTG.

闭环控制（CLC）理论在不同行业（机器人技术，汽车，航空航天等）中广泛使用，在临床环境中，尽管它在人工胰腺对糖尿病患者的自动化方面取得了成功。该提案旨在共同定义由肿瘤学专家（直接或通过观察）驱动的未来研究议程，以在异构环境中进行肿瘤生长控制的决策中部署CLC。在这项合作研究结束时，这将通过多个渠道向医学和学术社区呈现。本文提出的研究涵盖了一项为期12个月的初步可行性研究，该研究由OTG资助的两个2个月的合作研究与纽约的纪念Sloan Kettering Cancer Center（MSKCC）进行了合作研究。