Collabortive Research: Mathematical optimization for targeted macro-molecules delivery to the brain

协作研究：将目标大分子输送到大脑的数学优化

• 批准号: 0730043
• 负责人: Bakhtiar Yamini
• 金额: --
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0730043&HistoricalAwards=false
• 关键词: Collabortive; Research; Mathematical; optimization; targeted

Collaborative Research: Mathematical optimization for targeted macro-molecules delivery to the brainRichard PennUniversity of ChicagoCBET-0730043The goal of this research is to study a new computational approach to predict the distribution of infused therapeutic macromolecules in the human brain using advanced medical imaging techniques to measure brain geometry and tissue properties. In particular, the impact of tissue inhomogeneity and anisotropic drug distribution in the three-dimensional human brain will be incorporated. Optimal catheter placement for drug targeting will be computed to reduce toxicity and improve the effectiveness of treatments. Genome maps of receptors can be incorporated into the proposed mathematical model for determining the spatial distribution of the drug activity. This research will be carried out by an interdisciplinary research team composed of two biochemical engineers, a neurosurgeon, and an MRI physicist. Intellectual Merits: The proposed approach of three dimensional transport drug deliveries in the human brain will (i) bring together recent advancements in medical imaging and rigorous mathematical analysis, (ii) create mathematical formulations for the representation of the inhomogeneous and anisotropic properties of the brain, and (iii) account for the effect of infusion catheter placement. Broader Impacts: This research will integrate existing medical imaging technology with new mathematical modeling and scientific computing methods. The progress of creating computational grids of the human brain and symbolic codes for cerebral transport phenomena will be shared via the world-wide web to attract attention to the subject and create a growing scientific community. A large educational impact is expected because of the PI's commitment to high school math and science education via the NSF site for research experiences for teachers (RET), as well as his outreach to minorities and underrepresented groups through undergraduate research (REU) mentorship.

合作研究：本研究的目标是研究一种新的计算方法来预测注入的治疗性大分子在人脑中的分布，使用先进的医学成像技术来测量大脑的几何形状和组织特性。特别是，组织的不均匀性和各向异性药物分布在三维人脑的影响将被纳入。将计算药物靶向的最佳导管放置，以减少毒性并提高治疗效果。受体的基因组图谱可以被纳入所提出的数学模型，用于确定药物活性的空间分布。这项研究将由一个跨学科的研究团队进行，该团队由两名生化工程师，一名神经外科医生和一名MRI物理学家组成。智力优势：所提出的在人脑中三维运输药物递送的方法将（i）将医学成像和严格数学分析的最新进展结合在一起，（ii）创建用于表示大脑的不均匀和各向异性特性的数学公式，以及（iii）考虑输注导管放置的效果。 更广泛的影响：这项研究将整合现有的医学成像技术与新的数学建模和科学计算方法。创建人脑计算网格和大脑运输现象符号代码的进展将通过万维网共享，以吸引对该主题的关注，并创建一个不断增长的科学社区。预计将产生巨大的教育影响，因为PI通过NSF网站致力于高中数学和科学教育，为教师提供研究经验（RET），以及他通过本科研究（REU）指导向少数民族和代表性不足的群体推广。