Intelligent Control Approach to Anemia Management

描述(由申请人提供)： 终末期肾病引起的贫血的治疗是一个多因素的决策过程，涉及使用重组人促红细胞生成素(RHuEPO)和铁，以及评估其他影响疾病进展的因素。这一应用旨在通过使用来自控制工程和机器学习的最先进的数字工具来提高这一过程的成本效益。具体目标是收集贫血管理数据和制定新的血红蛋白水平测量周期指南(如有必要)，基于现代控制工程和机器学习方法开发个性化的计算机辅助rHuEPO剂量方法，通过数字模拟对开发的工具进行评估，以及评估治疗的潜在改进和预计的rHuEPO使用节省。最终目标是提供物理实现，并对所开发的方法进行临床评估。申请者亚当·E·加韦达博士是路易斯维尔大学肾脏病学部医学系的一名医学讲师。他最初的培训是在电气工程领域(M.Eng.)和计算机科学(博士)。申请者计划发展成为生物医学工程领域的独立和成熟的研究人员，专注于将最先进的技术转化为医疗保健。为了实现这一目标，申请者将报名参加路易斯维尔大学公共卫生和信息科学学院的临床研究、流行病学和统计培训(CREST)计划

DESCRIPTION (provided by applicant): Management of anemia due to end-stage renal disease is a multifactorial decision process involving administration of recombinant human erythropoietin (rHuEPO) and iron, as well as assessment of other factors influencing the progress of the disease. This application aims at improving the cost-effectiveness of this process through the use of state-of-the-art numerical tools from control engineering and machine learning. The specific aims are the collection of anemia management data and development of new guidelines for period of measuring hemoglobin levels if necessary, development of individualized, computer-assisted approach to rHuEPO dosing based on modern control engineering and machine learning approach, evaluation of the developed tools through numeric simulation and assessment of the potential improvements in therapy and projected savings in rHuEPO utilization. The final aim is to provide a physical implementation and to perform a clinical evaluation of the developed methodology. The applicant, Dr. Adam E. Gaweda, is an Instructor of Medicine in the Department of Medicine, Division of Nephrology at the University of Louisville. His original training is in the field of electrical engineering (M.Eng.) and computer science (Ph.D.). The applicant plans to develop as an independent and well established researcher in the field of biomedical engineering with focus on translation of state-of-the-art technology to heath care. To achieve this goal the applicant will enroll into the Clinical Research, Epidemiology and Statistics Training (CREST) Program at the University of Louisville, School of Public Health and Information Sciences