NLM Research Training Program in Biomedical Informatics and Data Science for Predoctoral and Postdoctoral Fellows

项目摘要/摘要 我们寻求更新我们在生物医学信息学和数据科学方面的NLM研究培训计划 (NLMTP)，29年来一直培养优秀的博士后和博士后实习生作为 计划与生物医学信息学和数据科学(BMI和DS)本身一起发展， 成功地将计算、数据科学、应用数学、统计学、生物医学、建模、数据- 驱动推理和决策，以及认知信息学的进步，与生物医学问题有关。 通过这次更新，我们将进一步扩大我们的研究培训计划，以探索和开发动态 BMI和DS与包括机器学习在内的人工智能(AI)的交互及其在 生物医学与人类健康和疾病。我们的计划不仅将为实习生配备固体DS 解决体重指数问题的方法和最新的工具、计算方法和统计方法， 但也提供了广泛的基础，使他们能够发明未来的方法来攻击 目前我们无法解决的问题；这将产生新一代体重指数科学家，他们能够提取新的 从经验和实验中获得的知识，为基础研究、病人护理和公共卫生提供信息。我们, 因此，努力培养我们的学生和博士后在理论和博士后之间有效地工作 实践，介于知识获取和知识共享之间。我们的46名培训人员，拥有广泛的专业知识 在BMI、DS和AI加上基础科学和临床知识，都有很高的研究记录 生产力、广泛的合作和联邦资金。他们的招聘、培训和 包括女性在内的代表性不足(UR)群体的职业发展势头强劲，已指导了264人 在过去的10年里，有337名博士后和337名博士后，其中208名博士后(31%UR，39%女性)和132名博士后 (16%UR，31%女性)目前在他们的实验室。我们的9名博士前实习生将完成一年的学习 在加入NLMTP之前，他在六所参与机构中的一所加入了实验室(通常为期3年 (任命)，从而确保他们的研究项目很好地适应NLM的培训领域。我们的6 博士后实习生将通过全国招聘和从我们教师的实验室中挑选出来，典型的情况是 为期两年的预约。NLMTP培训将结合BMI和DS的核心课程、高级选修课、 关于严谨性和可重复性以及负责任地进行研究、专业/职业发展的培训 健康方面的活动、每月与专家举行的会议以及跨学科的双指导研究项目 护理/临床信息学、翻译生物信息学和临床研究信息学。我们的研究培训 计划将接受外部专家的定期评估，并根据需要进行调整。本节目 将为学员提供完美的机会来获得技能、专业知识和智力能力，以促进 创新研究并为应用研究或相关职业做好准备，在这些职业中，他们可以深刻地 影响个性化医疗、临床决策和数据驱动的健康等关键领域。

PROJECT SUMMARY/ABSTRACT We seek renewal of our NLM Research Training Program in Biomedical Informatics and Data Science (NLMTP), which for 29 years has consistently produced outstanding pre- and postdoctoral trainees as the program has evolved along with Biomedical Informatics and Data Science (BMI and DS) themselves, successfully bringing computation, data science, applied mathematics, statistics, biomedicine, modeling, data- driven inference and decision-making, and advances in cognitive informatics, to bear on biomedical problems. With this renewal, we will further expand our research training program to explore and exploit the dynamic interaction of BMI and DS with artificial intelligence (AI), including machine learning, and their applications in biomedicine and human health and disease. Our program will not only equip trainees with solid DS methodology and the latest tools, computational approaches, and statistical methods to solve BMI problems, but also provide broad foundations that will enable them to invent the methodologies of the future to attack problems currently beyond our reach; this will produce a new generation of BMI scientists who can extract new knowledge from experience and experiment to inform basic research, patient care and public health. We, therefore, seek to train our students and postdocs to work effectively at the interface between theory and practice, between knowledge acquisition and knowledge sharing. Our 46 training faculty, with broad expertise in BMI, DS, and AI coupled with basic science and clinical knowledge, have a record of high research productivity, extensive collaborations, and federal funding. Their track record of the recruitment, training, and career advancement of underrepresented (UR) groups including women is strong, having mentored 264 predocs and 337 postdocs over the past 10 years, with 208 predocs (31% UR, 39% women) and 132 postdocs (16% UR, 31% women) currently in their labs. Our 9 predoctoral trainees will have completed one year of study and joined a lab at one of six participating institutions before joining the NLMTP (typically for 3-year appointments), thus ensuring that their research projects fit well into the training areas of the NLM. Our 6 postdoctoral trainees will be selected through national recruiting and from the labs of our faculty, for typically 2-year appointments. NLMTP training will combine core courses in BMI and DS, advanced elective courses, training in rigor and reproducibility and the responsible conduct of research, professional/career development activities, monthly meetings with experts, and interdisciplinary dual-mentored research projects in health care/clinical informatics, translational bioinformatics, and clinical research informatics. Our research training program will undergo regular evaluations by external experts with adjustments made as needed. This program will provide the perfect opportunity for trainees to acquire the skills, expertise and intellectual abilities to foster innovative research and prepare them for applied research or related careers in which they can profoundly affect such critical areas as personalized medicine, clinical decision making, and data-driven health.