Digestive Diseases Training Program

一种新的、有效的方法来培训医生和科学家，使他们能够在未来成功地执行患者- 以消化疾病为中心的解决方案需要在支持性 环境。新的机遇和盛行的医疗保健趋势激励了加州大学的领导层 匹兹堡消化疾病培训计划创建一个前瞻性的计划来吸引和留住 通过集成大数据工具，培养高素质的学员并装备新一代医生和科学家 和个性化医学成为临床和转化性研究和教学团队科学，构建在 U01项目成功的中坚力量。新计划旨在：(A)提供严格的个性化 包含翻译研究方法和跨学科核心能力的培训 专业技能；(B)召集多学科指导，提供翻译方面的专门知识 研究项目从概念到完成，包括大数据和个性化医学； 以及(C)通过职业指导和传播学术活动来支持研究员未来的职业目标。这个 项目计划包括一名经验丰富的项目主任和四名联合主任，他们是临床- 翻译研究、基础科学、生物医学信息学和计算生物学。实习生将 通过匹兹堡大学临床研究所接受密集的课堂和实践培训 研究教育(ICRE)，紧随其后的是基础科学、翻译科学或临床科学的核心课程和选修课。 每个实习生将与计划主任一起制定个人发展计划，以确保 实习生完成研究生学位(硕士或博士)的所有部门要求；培养 对消化系统疾病患者具有重要意义的个性化项目；接受计划和职业 指导；并开始他们适当的职业发展道路。系统和具体的里程碑是 纳入该计划，以保障核心能力，及时并经过严格审查的研究提案， 完成必修课程、学术成就和职业发展活动，如 提交F32、KS或其他竞争性奖项。每个实习生都将有一个由医生组成的指导团队， 科学家和大数据领域专家。大数据选修课被纳入个人发展计划， 包括翻译生物信息学基础、人工智能中的符号方法、概率论 基于计算机的决策支持方法、机器学习、计算基因组学和实验室 计算生物学家的方法。通过参与现有的U01获得额外的经验， 多中心临床/转化性研究和实习。这个项目是没有先例的--尽管 明确的需求。然而，我们正在进行的培训成功证明了该计划的可行性和亮点 我们优秀的教师和培育环境将确保我们独特的培训计划将产生 在大数据世界中，消化系统疾病的翻译和以患者为中心的医学领域的未来领导者。

A new and effective approach to training physicians and scientists for future success in executing patient- centered solutions for digestive disease requires an innovative training program within a supportive environment. New opportunities and prevailing health care trends inspired the leadership of the University of Pittsburgh's Digestive Diseases Training Program to create a forward-thinking program to attract and retain top-quality trainees and equip a new generation of physicians and scientists by integrating the tools of Big Data and Personalized Medicine into clinical and translational research and teaching team science, structured on a backbone of successful U01 programs. The new program is designed to: (a) Provide rigorous individualized training that encompasses core competencies in translational research methodologies and interdisciplinary professional skills; (b) Assemble multidisciplinary mentoring to provide expertise in the conduct of translational research projects from conceptualization to completion that include Big Data and Personalized Medicine; and (c) Support fellows' future career goals by career coaching and disseminating scholarly activities. The Program Plan includes an experienced program director and four co-directors who are leaders in clinical- translational research, basic sciences, biomedical informatics, and computational biology. The trainees will receive intense classroom and practical training through the University of Pittsburgh's Institute for Clinical Research Education (ICRE), followed by core classes and electives in basic, translational, or clinical sciences. Each trainee will work with the program directors to develop an Individual Development Plan to ensure that the trainee completes all of the department requirements for a graduate degree (Masters or PhD); cultivates individualized projects of importance to patients with digestive diseases; receives program and career mentoring; and begins their appropriate career development pathway. Systematic and specific milestones are built into the program to safeguard for core competencies, timely and critically reviewed research proposals, and completion of required coursework, scholarly achievements, and career development activities, such as submission of F32s, Ks, or other competitive awards. Each trainee will have a mentoring team of a physician, scientist, and a domain expert in Big Data. Big Data electives are built into the Individual Development Plan, including Foundations of Translational Bioinformatics, Symbolic Methods in Artificial Intelligence, Probabilistic Methods for Computer-Based Decision Support, Machine Learning, Computational Genomics, and Laboratory Methods for Computational Biologists. Additional experience is gained through participation in existing U01s, multicenter clinical/translational studies, and internships. There is no precedent for this program—despite a clear need. However, our ongoing training success demonstrates the feasibility of the program and highlights our outstanding faculty and a nurturing environment that will ensure our unique training program will produce future leaders in translational and patient-centered medicine of digestive diseases in a world of Big Data.