Pixel-based drug release system: Achieving accurate dosage and prolonged activity for personalized medicine

Ashkan Shafiee, Elham Ghadiri, Anthony Atala
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引用次数: 1

Abstract

We have developed a pixel-based drug release system that consists of several miniature drug cartridges capable of releasing accurate dosages and maintaining the drug within a therapeutic window. To achieve the goal of personalized medicine that takes into account targeted dosages, single or multiple miniature cartridges can be used to release the drug. Moreover, a release cascade with individual pixels in a time-lag fashion can maintain the drug within the therapeutic window while prolonging its duration of activity. For high quality, dosage control, and precise administration, the amount of drug released from each miniature cartridge needs to be predicted accurately. As such, the total released amount over a specific time and the number of involved miniature cartridges can be optimized. We established a model based on analogizing our voltage-triggered drug release system to capacitors, and mathematically determined the amount of release from every miniature cartridge. The model predicted that the procedure can be fitted using an exponential function. The characteristic time for the exponential fit was used to derive the predicting formula to be calibrated for each drug. We have shown that after calibration, the release of each miniature cartridge with different drugs and various initial loads can be predicted; therefore, a dosage release can be achieved based on each patient's need.

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基于像素的药物释放系统:实现个体化用药的精确剂量和延长活性
我们已经开发了一种基于像素的药物释放系统,该系统由几个微型药物盒组成,能够释放准确的剂量并将药物维持在治疗窗口内。为了实现考虑到目标剂量的个性化医疗目标,可以使用单个或多个微型药筒来释放药物。此外,以时滞方式具有单个像素的释放级联可以在延长其活性持续时间的同时将药物维持在治疗窗口内。为了实现高质量、剂量控制和精确给药,需要准确预测每个微型药筒释放的药物量。因此,在特定时间内的总释放量和涉及的微型墨盒的数量可以优化。我们将电压触发药物释放系统与电容器进行类比,建立了一个模型,并从数学上确定了每个微型药筒的释放量。该模型预测该过程可以用指数函数拟合。利用指数拟合的特征时间推导出对每种药物进行校准的预测公式。我们的研究表明,在校准后,不同药物和不同初始负荷的每个微型药筒的释放量都可以预测;因此,可以根据每个患者的需要实现剂量释放。
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