Core C

生物数学单元的活动对于最大限度地从光动力疗法计划的科学/临床项目中产生有用的信息是必不可少的。当所研究的系统很复杂，当项目目标需要几位科学家的综合参与时，对基础和临床研究的客观、定量的方法尤其相关。虽然协作主要是由该计划中的其他研究人员发起的，但生物数学单位在努力确定有用的定量技术时，也可能发起协作。在确定了有用的、定量的生物数学技术后，对这些技术进行检查，必要时加以纠正，如果可能有成果，则加以推广，将其应用于特定工具，并用于促进对复杂的光动力学、药代动力学和细胞动力学系统的更深入了解。实验室和临床科学家可以通过向生物数学股传达他们的需要，获得生物数学专业知识的使用、定制和商业计算机软件和硬件的建议以及关于生物数学主题的不同深度的教程和建议。协作的范围可以从五分钟的对话到多年的多项目计划。具体目标包括：1.数学模型，通常是经验的或半经验的，将根据需要从文献中改编或创建。个别统计分析将应用于具体研究中的数据。将提供实验设计建议。 常规的标准化数据分析程序将在特定的实验室中实施。将对常规使用的结果进行审查。2.将针对具体项目建立具体的个人数据库。将在需要的地方建立联合中央数据库。数据库将根据具体项目不断变化的要求进行更新和调整。3.将举办关于生物数学主题的研讨会。如有需要，将提供有关软件和/或数据分析技术和原则的教程。研究结果将在科学会议上公布。研究结果将发表在科学期刊上。4.将对计算机软件/硬件系统进行小规模安装、改进和修理。

The activities of the Biomathematics unit will be essential for maximizing the yield of useful information from the scientific/clinical projects in this Photodynamic Therapy Program. An objective, quantitative approach to basic and clinical research is especially relevant when the systems under study are complex and when program goals demand the integrated participation of several scientists. Although collaborations are primarily initiated by other researchers in the Program, the Biomathematics Unit, in its effort to identify useful quantitative techniques, may also initiate collaborations. After identifying useful, quantitative, biomathematical techniques, they are checked, corrected if necessary, extended if potentially fruitful, implemented into specific tools and used to facilitate a deeper understanding of complex photodynamic, pharmacokinetic and cellular kinetic systems. Laboratory and clinical scientists can obtain the use of biomathematical expertise, advice and use of custom and commercial computer software and hardware, and tutorials and advice of varying depth on biomathematical topics by communicating their need to the Biomathemats Unit. Collaborations can range from a five minute conversation to multiyear, multiproject programs. Specific aims include: 1. Mathematical models, usually empirical or semi-empirical, will be adapted from the literature, or created, as needed. Individual statistical analyses will be applied to data in specific studies. Experimental design advice will be provided. Routine standardized data analysis procedures will be implemented in specific labs. Results from routine use will be reviewed. 2. Specific individual databases will be set up for specific projects. Joint central databases will be set up where needed. Databases will be updated and adapted to changing requirements of specific projects. 3. Seminars on Biomathematics topics will be given. Tutorials on software and/or data analysis techniques and principles will be provided where needed. Results will be presented at scientific meetings. Results will be published in scientific j ournals. 4. Minor installations, improvements and repairs will be made to computer software/hardware systems.