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Closing the data gap: High throughput screening of nanoparticle toxicity

Closing the data gap: High throughput screening of nanoparticle toxicity
缩小数据差距:纳米颗粒毒性的高通量筛选
批准号:
DP150101774
负责人:
Prof Nicolas Voelcker
金额:
$25.05万
依托单位:
依托单位国家:
澳大利亚
项目类别:
Discovery Projects
财政年份:
2015
资助国家:
澳大利亚
项目状态:
已结题
起止时间:
2015-01-23 至 2018-10-01

项目摘要

项目成果

Prof Nicolas Voelcker的其他基金

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中文摘要
翻译
纳米技术部门正在经历一个指数增长期,每年有100多种含有人造纳米颗粒的产品进入市场。确保该部门的增长需要与保护人类和环境安全的当务之急相平衡。该项目旨在开发新的方法和概念途径,以缩小纳米技术创新和风险评估之间的差距。这是为了通过开发和验证制造的纳米颗粒的高通量体外毒性筛选平台来实现的。该方法基于先进的芯片实验室微流控技术。该平台的预测能力将通过体外和体内模型进行细化和优化。
英文摘要
The nanotechnology sector is experiencing an exponential growth period with over 100 products containing manufactured nanoparticles entering the market every year. Ensuring growth of the sector needs to be balanced against the imperative of protecting both human and environmental safety. This project aims to develop new methodological and conceptual avenues to close the gap between innovation in nanotechnology and risk assessment. This is intended to be achieved by developing and validating high-throughput in vitro toxicity screening platforms for manufactured nanoparticles. The approach is based on advanced lab-on-a-chip microfluidic technologies. The predictive power of the platform will be refined and optimised via ex-vivo and in-vivo models.
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Dynamic Microcages for Cells: Advanced Tools to Interrogate Cell Mechanics
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High-Precision Mass Spectrometry Imaging Facility
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: