Feedback controlled, ultra-high-precision drug delivery

我们已经展示了第一个对血浆药物浓度进行闭环反馈控制的例子。 通过实时体内药物测量获得信息。我们使用一种传感体系结构实现了这一点 与目标分子的化学反应无关，使得该方法，至少在理论上， 可推广到任何药物。在这里，我们提出一个研究和开发计划，旨在将这一点 创新突破成为既适用于药理研究又适用于临床的强大新工具 练习一下。通过提高(数量级)我们控制体内药物水平的精确度， 拟议的技术将使药代动力学成为实验上可控的参数，从而 研究人员更精确地映射药代动力学和临床结果之间的关系，以 消除药代动力学不一致性作为混杂的实验变量，并准确模拟 人在动物模型中的药代动力学。最终，这样的技术可以用于临床，在那里， 根据患者不断变化的新陈代谢，随时优化给药，它将确保 治疗的好处是最大化的，而风险是最小的。

We have demonstrated the first ever example of closed-loop feedback control over plasma drug levels informed by real-time in-vivo drug measurements. We achieved this using a sensing architecture that is independent of the chemical reactivity of the target molecule, rendering the approach, at least in theory, generalizable to any drug. Here we propose a research and development program aimed at translating this innovative breakthrough into a powerful new tool applicable to both pharmacological research and clinical practice. By improving (by orders of magnitude) the precision with which we can control in-vivo drug levels, the proposed technology would render pharmacokinetics an experimentally controllable parameter, allowing researchers to more precisely map the relationships between pharmacokinetics and clinical outcomes, to eliminate pharmacokinetic inconsistency as a confounding experimental variable, and to accurately simulate human pharmacokinetics in animal models. Ultimately, such a technology could be used in the clinic where, by optimize dosing moment-to-moment in response to a patient's changing metabolism, it would ensure that a therapy's benefits are maximized while its risks are minimized.