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）理论广泛应用于不同的行业（机器人，汽车，航空航天等）。尽管其在通过人工胰腺对糖尿病患者进行葡萄糖控制的自动化方面取得了成功，但在临床环境中的应用程度较低。该提案旨在共同定义未来的研究议程，由肿瘤专家（直接和通过观察）的投入驱动，用于在异质环境中部署CLC进行肿瘤生长控制的决策。这将在合作研究结束时通过多种渠道提交给医学和学术界。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，与纽约的纪念斯隆-凯特琳癌症中心（MSKCC）进行了两个为期2个月的合作研究。