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

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），在临床环境中应用较少，尽管它在通过人工胰腺实现糖尿病患者血糖控制自动化方面取得了成功。该提案旨在共同确定未来的研究议程，该议程由肿瘤学专家（直接或通过观察）的投入驱动，以便在异质环境下将CLC应用于肿瘤生长控制的决策中。在本次合作研究结束时，将通过多种渠道向医学界和学术界展示这一成果。本文提出的研究包括为期12个月的初步可行性研究，由OTG资助，与纽约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。

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.