In vivo derived in silico model for DDS optimization

描述（由申请人提供）：定量方法有限，无法帮助系统设计和开发给药系统。我们已经开发了一种计算模型，可以预测递送到肿瘤的药物量，并且我们能够从我们的模型中对脂质体的理想性质进行相关预测。这项资助申请的第一个目标是开发体内测量肿瘤转运特性的方法。然后验证该模型，并将其作为优化热激活脂质体载体的平台。因此，所提出的方法有助于开发更有效的药物输送系统，并具有广泛的适用性，为各种药物输送系统。

DESCRIPTION (provided by applicant): There are limited quantitative methods to aid systematic design and development of drug delivery systems. We have developed a computational model that predicts the amount of drug that is delivered to the tumor, and we were able to make relevant predictions for ideal properties of liposomes from our models. The first goal of this grant application is the development of methods to measure tumor transport properties in vivo. The model is then validated, and will serve as platform for optimization of heat-activated liposomal carriers. The proposed approach thus aids the development of more effective drug delivery systems, and has general applicability for various drug delivery systems.