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Computational model of targeted drug delivery

靶向药物递送的计算模型

基本信息

批准号：
10666585
负责人：
Dieter Haemmerich
金额：
$ 35.08万
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 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10666585
关键词：
3-Dimensional Animal Model Animals Anthracycline Cancer Model Cancerous Cardiac Cells Clinical Trials Complex Computer Models Data Set Development Dose Drug Delivery Systems Drug Targeting Encapsulated Evaluation Goals Human Kinetics Libraries Light Liposomes Magnetic Resonance Imaging Maps Measures Methods Modeling Mus Parameter Estimation Patients Perfusion Pharmaceutical Preparations Physiology Plasma Property Public Health Reproducibility Research Personnel System Testing Therapeutic Therapeutic Effect Three-Dimensional Imaging Tissues Toxic effect Treatment Efficacy Tumor Biology Validation Vascular Permeabilities cancer therapy chemotherapy contrast enhanced design drug distribution fluorescence imaging health goals imaging modality imaging study improved in vivo in vivo Model in vivo imaging individualized medicine innovation mathematical model model design nanoparticle nanoparticle drug nanopolymer novel novel therapeutics pharmacokinetics and pharmacodynamics preclinical evaluation predictive modeling response translational impact treatment optimization treatment planning tumor tumor heterogeneity tumor microenvironment uptake virtual

项目摘要

PROJECT SUMMARY Most nanoparticles for drug delivery fail in clinical trials due to insufficiency of animal models, highlighting the need for additional models to support the development of new nanoparticles. Specifically, there are limited quantitative methods to aid in the systematic design and development of nanoparticles for drug delivery to cancerous tumors. The proposed computational models can predict drug delivery to tumors, and we demonstrate model accuracy in preliminary studies. The goal of this project is to develop computational models that can simulate drug delivery to tumors in 3-D, incorporating spatial heterogeneities in tumor properties. This is achieved by employing 3-D imaging studies to derive tumor parameter maps, and then integrating those maps in the computer model. If successful, the proposed computer models will enable systemic evaluation of nanoparticles not possible with other experimental methods and may result in more efficient nanoparticle- based cancer therapies.

项目摘要由于动物模型不足，大多数用于药物递送的纳米颗粒在临床试验中失败，需要额外的模型来支持新纳米颗粒的开发。具体来说，定量方法，以帮助系统设计和开发用于药物递送的纳米颗粒，恶性肿瘤提出的计算模型可以预测药物输送到肿瘤，我们在初步研究中证明模型的准确性。这个项目的目标是开发计算模型它可以模拟药物在3-D中输送到肿瘤中，并将肿瘤特性的空间异质性结合起来。这是通过采用三维成像研究来获得肿瘤参数图，然后将这些计算机模型中的地图。如果成功，拟议的计算机模型将能够系统地评估纳米粒子不可能与其他实验方法，并可能导致更有效的纳米粒子- 基于癌症疗法。