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的不足，大多数用于药物输送的纳米颗粒在临床试验中失败，强调了需要其他模型来支持新的纳米颗粒的开发。具体来说，有限有助于纳米颗粒系统设计和开发药物的定量方法癌性肿瘤。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了模型的准确性。该项目的目的是开发计算模型这可以模拟3-D中的药物输送到肿瘤，并在肿瘤性质中融合了空间异质性。这通过采用3-D成像研究来得出肿瘤参数图，然后将其整合到计算机模型中的地图。如果成功，建议的计算机模型将实现对其他实验方法不可能进行纳米颗粒，可能会导致更有效的纳米颗粒 - 基于癌症疗法。