Biomedical Informatics and Data Science Research Training Program (BIRT)

项目总结 国家医学图书馆fi第一次资助了生物医学信息学和数据科学研究培训 1992年在哈佛医学院(HMS)攻读BIRT项目。该计划继续成为推动 在fi时代培养未来的计算机化生物医学领导者。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 从广泛的学科领域参与到这一进程中。通过严格的Sciencefic训练， 拟议的计划将使这些人做好准备，以便进行大规模的整合、解释和行动， 来自生物医学研究和医学实践的高通量、复杂的数据。 HMS的生物医学信息学系将成为 提议的计划。该系的教员在艺术智能、生物医学发现方面拥有专业知识。 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、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 哈佛大学的教职员工，布罗德研究所的成员，以及ffi附属教学医院的教职员工 马萨诸塞州总医院，布里格姆妇女医院，波士顿儿童医院，贝丝以色列 女执事医疗中心和Dana-Farber癌症中心将参加研究员的培训。 此外，该方案将继续协调其ff培训项目与其他数据科学方案，网址为 哈佛大学和哈佛数据科学倡议。 拟议的计划将侧重于具有直接与健康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。将我们研究实验室的广泛专业知识和深厚的信息学知识结合在一起 利用ffi附属机构在日常医疗实践中产生的临床数据，将提供 超凡的训练环境。 该计划将向将在学术上注册的博士后和博士后级别的实习生开放 严格的学位授予计划。博士后研究员将注册博士项目，博士后研究员 将注册一个硕士项目。通过这些项目，学员的学业进步将是 定期评估。此外，受训人员将与国际公认的教师一起进行全职研究。 关于高度支持file的拨款和研究项目。我们也会将ff呃这些研究机会短期 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.