Digestive Diseases Training Program

一个新的和有效的方法来培训医生和科学家，为未来的成功执行病人- 消化系统疾病的集中解决方案需要一个创新的培训计划， 环境新的机遇和普遍的医疗保健趋势激发了大学的领导力。 匹兹堡的消化系统疾病培训计划，以创造一个前瞻性的计划，以吸引和留住 通过整合大数据工具，培养高质量的受训人员，并为新一代医生和科学家提供装备 和个性化医学纳入临床和转化研究和教学团队科学， 成功的U 01计划的骨干。新方案旨在：（a）提供严格的个性化服务 培训，包括核心竞争力的转化研究方法和跨学科 （B）汇集多学科指导，提供翻译方面的专门知识， 从概念化到完成的研究项目，包括大数据和个性化医疗; （c）通过职业辅导和传播学术活动，支持研究员的未来职业目标。的 项目计划包括一名经验丰富的项目主任和四名共同主任，他们是临床领域的领导者， 转化研究、基础科学、生物医学信息学和计算生物学。学员将 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），其次是基础，转化或临床科学的核心课程和选修课。 每位学员将与项目总监合作制定个人发展计划，以确保 实习生完成所有部门要求的研究生学位（硕士或博士）;培养 对消化系统疾病患者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途径。系统和具体的里程碑是 内置到该计划，以保障核心竞争力，及时和严格审查的研究建议， 并完成所需的课程作业，学术成就和职业发展活动，如 F32、Ks或其他竞争性奖项的提交。每个受训者将有一个由医生组成的指导小组， 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、机器学习、计算基因组学和实验室方法 计算生物学家的方法。通过参加现有的U 01获得额外的经验， 多中心临床/转化研究和实习。这一计划没有先例--尽管有一个 明确的需要。然而，我们正在进行的培训成功证明了该计划的可行性，并强调 我们优秀的教师和培养环境，将确保我们独特的培训计划将产生 在大数据的世界中，消化疾病的转化和以患者为中心的医学的未来领导者。

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.