导读
英文标题：DiabAgent: Toward Agentic Physiological Control arXiv编号：2611.03601 作者：Chengxi Li, Shaoxuan Li, Deyao Hong 来源：arXiv 原文链接：https://arxiv.org/abs/261…
【编辑部】这对你意味着什么
这篇论文属于学术研究，做的是虚拟模拟器里的血糖控制测试，没有招募真实患者，也没有涉及任何临床应用或产品落地，因此对在美华人读者的就医、用药、保险或日常健康管理没有直接影响。对从事医疗人工智能、糖尿病管理或相关研究的读者，它的价值在于提供了一个可复现的测试框架、模拟器和评测基准，可作为了解该方向进展的参考。文中结果是模拟环境下的评测数据，不能理解为对真实患者控糖效果的结论，也不代表任何设备或疗法已被验证。若家中有依赖胰岛素治疗的成员，仍需以医生和现有医疗器械的方案为准。
英文标题：DiabAgent: Toward Agentic Physiological Control
arXiv编号：2611.03601
作者：Chengxi Li, Shaoxuan Li, Deyao Hong
来源：arXiv
原文链接：https://arxiv.org/abs/2611.03601
中文摘要：
As pretraining scales, medical language models have advanced rapidly in clinical question answering. Their ability to achieve effective physiological control through sustained intervention still lacks systematic quantitative evaluation. Type 1 diabetes provides a concrete setting: impaired insulin secretion creates dependence on exogenous insulin, with dosing continually adjusted using information about meals, exercise, illness, and glucose measurements. We introduce DiabAgent, a research suite for agentic physiological control comprising the Agentic Physiological Control (APC) framework, the DiabetSim simulator, and the SweetBench benchmark. APC controls glucose through medical-device tools, using ongoing observations to infer individual states, accumulate personal experience, and choose treatment actions. We build DiabetSim to simulate different patients, events, and device conditions for scalable virtual testing and training. Using DiabetSim, we construct SweetBench by instantiating 32 scenario designs as 212 glucose-control tasks. With Claude Opus 5.5 and a fixed decision interval of one hour, APC achieves a COGI of 73.5, compared with 71.2 for the open-source closed-loop baseline OpenAPS. Ablations further show that individual adaptation and contextual information improve glucose control. Combining high-frequency rule-based control with lower-frequency agent decisions shows potential for balancing control performance and computational cost. Our work provides a framework, simulator, and evaluation foundation for agents to participate in human physiological control.
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【编辑部】今日讨论
如果你或家人需要根据吃饭、运动和血糖测量不断调整胰岛素剂量，你会愿意让AI代理来给出或执行调整建议吗？为什么？
