Biomedical Informatics and Data Science Research Training Program (BIRT)

项目摘要 国家医学图书馆首次资助了生物医学信息学和数据科学研究培训 （BIRT）计划在哈佛医学院（HMS）于1992年。该计划继续成为推动 教育未来的领导者在计算使能生物医学领域。作为数据驱动的研究 越来越多地在整个医疗保健领域实现关键创新，我们需要培训个人 从广泛的学科参与这一进程。通过严格的科学训练， 拟议的计划将准备这些人整合，解释，并采取行动的大规模， 生物医学研究和医学实践产生的高通量和复杂数据。 HMS的生物医学信息学系将成为HMS的行政和知识之家。 建议方案。该系的教师在阿尔蒂官方情报、生物医学发现 基础设施，包括计算统计和数据可视化，临床决策支持， 计算组学，进化遗传学，基因型，表型和环境的整合 暴露、学习卫生系统、微生物基因组学和疾病分类学。此外，其他 哈佛的教师，布罗德研究所的成员，以及在附属教学医院工作的教师， 马萨诸塞州总医院、布里格姆妇女医院、波士顿儿童医院、贝斯以色列 女执事医疗中心和达纳法伯癌症中心将参加研究员的培训。 此外，该计划将继续与其他数据科学计划协调其培训活动， 哈佛和哈佛数据科学计划。 拟议的计划将侧重于与健康直接相关的应用领域的信息学领域： 翻译生物信息学、医疗保健/临床信息学、临床研究信息学和公共卫生 信息学.结合我们研究实验室的广泛专业知识和信息学的深厚知识 根据认可医疗机构在日常医疗实践中产生的临床数据， 特殊的训练环境。 该计划将开放给实习生在博士前和博士后水平谁将参加学术 严格的学位授予计划。博士前研究员将参加博士课程，博士后研究员将参加博士课程， 将参加硕士课程。通过这些方案，学员的学术进步将 定期评估。此外，学员将与国际公认的教师进行全职研究 赠款和研究项目。我们还将把这些研究机会短期化， 实习生

PROJECT SUMMARY The National Library of Medicine first funded the Biomedical Informatics and Data Science Research Training (BIRT) program at Harvard Medical School (HMS) in 1992. The program continues to be a driving force in the education of future leaders in the field of computationally-enabled biomedicine. As data-driven research increasingly enables critical innovation across the whole spectrum of healthcare, we need to train individuals from a wide range of disciplines to participate in this process. Through rigorous scientific training, the proposed program will prepare these individuals to integrate, interpret, and act on large-scale, high-throughput, and complex data resulting from biomedical research and the practice of medicine. The Department of Biomedical Informatics at HMS will be the administrative and intellectual home for the proposed program. Faculty in the department have expertise in artificial intelligence, biomedical discovery infrastructure including computational statistics and data visualization, clinical decision support, computational omics, evolutionary genetics, integration of genotypes, phenotypes and environmental exposures, learning health systems, microbial genomics, and taxonomies of disease. Additionally, other Harvard faculty, members of the Broad Institute, and faculty based at affiliated teaching hospitals such Massachusetts General Hospital, Brigham and Women’s Hospital, Boston Children’s Hospital, Beth Israel Deaconess Medical Center, and Dana-Farber Cancer Center will participate in the training of the fellows. Furthermore, the program will continue to coordinate its training efforts with other data science programs at Harvard and the Harvard Data Science Initiative. The proposed program will focus on areas of informatics with direct health-related application domains: translational bioinformatics, healthcare/clinical informatics, clinical research informatics, and public health informatics. Combining the broad expertise and deep knowledge of informatics in our research laboratories with the clinical data generated in the daily practice of medicine at the affiliated institutions will provide an exceptional training environment. The program will be open to trainees at the predoctoral and postdoctoral level who will enroll in academically rigorous degree-granting programs. Predoctoral fellows will enroll in a PhD program, and postdoctoral fellows will enroll in a Master’s program. Through these programs, the academic progress of the trainees will be assessed regularly. In addition, trainees will conduct full-time research with internationally recognized faculty on high-profile grants and research projects. We will also offer these research opportunities to short-term trainees.