权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

In vivo derived in silico model for DDS optimization

用于 DDS 优化的体内计算机模型

基本信息

批准号：
9765169
负责人：
Dieter Haemmerich
金额：
$ 14.63万
依托单位：
MEDICAL UNIVERSITY OF SOUTH CAROLINA
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-25 至 2021-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9765169
关键词：
3-Dimensional Affect Animals Applications Grants Area Bioavailable Biodistribution Biological Biological Availability Blood Vessels Blood flow Cells Clinical Complex Computer Simulation Data Development Devices Dose Doxorubicin Hydrochloride Liposome Drug Carriers Drug Delivery Systems Drug Modelings Drug Targeting Drug Transport Engineering Evaluation Extravasation Formulation Goals Growth Half-Life Heating Heterogeneity High Pressure Liquid Chromatography Human Hyperthermia Image Analysis In Vitro Kinetics Liposomes Maps Measurement Measures Methods Modeling Modification Penetration Perfusion Pharmaceutical Preparations Physiological Physiology Plasma Property Regimen Site Solid Neoplasm System Systems Biology Technology Temperature Testing Therapeutic Index Tissue Sample Tissues Toxic effect Tumor Biology Tumor-Derived Validation Vascular Permeabilities Work base chemotherapy contrast enhanced density design drug development essays feeding imaging modality improved in vivo intravital fluorescence microscopy liposomal delivery liposome vector method development model design nanoparticle delivery nanoparticle drug neoplastic cell novel novel strategies novel therapeutics predictive modeling public health relevance quantitative imaging side effect spatiotemporal temporal measurement three-dimensional modeling tumor uptake

项目摘要

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.

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。