MATHEMATICAL MODELING IN NUTRITION

描述：健康的饮食对生长、发育、 生殖和疾病预防。因为它优化了 营养新陈代谢，营养学家开始关注数学 了解营养代谢动力学的动力学数据模型 在活体内。可获得适当标记的(稳定同位素)营养素； 灵敏的分析方法(质谱学)和能够 高效、准确地求解(和操纵)微分方程组 现在允许体内营养新陈代谢的动力学是数学上的 模拟的。此外，在营养代谢动力学上的差异 个人现在可以被量化。因此，整个会议 目标是鼓励物理学家之间加强合作， 数学家、生物学家和营养学家在研究营养学方面 博士后和博士后环境中的研究问题 研究员、新手和老牌调查员(希望将 数学建模走进研究兵工厂)和研究 管理员进行交互，并了解数学 模特必须提供生物和物理科学家。这四天 会议的背景和理论方面将致力于 生理学隔室模型与各种钥匙的实例 营养和生理状态。会议的最后一次会议将 关注中国标记营养素分析的最新进展 生物组织使用最先进的方法，例如质谱学， 加速器质谱学和联用技术，如高效液相-质谱仪和 GC-MS联用主要重点将放在SAAM计划上。它们可以在PC(386)上运行 或更高版本)，拥有75个池和1,000个数据点的容量，并且 在罗兰·泽克博士的支持下 美国国家癌症研究所。基于Windows和基于Macintosh的版本 SAAM，即SAAM II，是在资源基金开发的，用于 华盛顿大学的动力学分析，也将提供 在会议上供使用/讨论/评估。会议将于 面向初学者，但高级用户可以演示新的 SAAM的改进和全部功能。最先进的计算机 会议期间将提供硬件设施，以允许 参与者需要处理自己的数据。在整个会议期间 有经验的用户将在计算机前与初学者一起工作。

DESCRIPTION: A healthful diet is important for growth, development, reproduction and disease prevention. Since it optimizes the dynamics of nutrient metabolism, nutritionists are beginning to focus on mathematical modeling of kinetic data to understand the dynamics of nutrient metabolism in vivo. Availability of suitably tagged (stable isotope) nutrients, sensitive analytical methods (mass spectrometry) and computers capable of solving (and manipulating) differential equations efficiently and accurately now allow the dynamics of nutrient metabolism in vivo to be mathematically simulated. Also, differences in the dynamics of nutrient metabolism between individuals can now be quantified. Therefore, the overall conference objective is to encourage increased collaboration among physical scientists, mathematicians, biologists and nutritionists in addressing nutrition research problems in an environment where predoctoral and postdoctoral fellows, beginning and established investigators (wanting to incorporate mathematical modeling into the research armamentarium) and research administrators to interact and learn of the possibilities that mathematical modeling has to offer biological and physical scientists. The four day conference will be devoted to the background and theoretical aspects of physiologic compartmental modeling with examples from a variety of key nutrients and physiologic states. The final session of the conference will focus on recent developments in the analysis of tagged nutrients in biological tissues using state of the art methods such as mass spectrometry, accelerator mass spectrometry and hyphenated techniques such as HPLC-MS and GC-MS. Major focus will be on the SAAM programs. They can run on a PC (386 or higher) and have a capacity of 75 pools and 1,000 data points and are supported by Dr. Loren Zech in the Laboratory of Mathematical Biology at the National Cancer Institute. A Windows-based and a Macintosh-based version of SAAM, namely SAAM II, has been developed at the Resource Facility for Kinetic Analysis of the University of Washington and will also be available at the conference for use/discussion/evaluation. The conference will be oriented toward beginners but advanced users can demonstrate the new refinements and full capabilities of SAAM. State of the art computer hardware facilities will be available during the conference to allow participants to process their own data. Throughout the conference experienced users will work with the beginners at the computers.