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

NLM 生物医学信息学培训计划

• 批准号: 9526234
• 负责人: Lydia E. Kavraki
• 金额: $ 9.8万
• 依托单位: RICE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9526234
• 关键词: Bioinformatics; Clinical Informatics; Clinical Research; Cognitive; Communication; Data; Data Science; Decision Making; Faculty; Foundations; Generations; Healthcare; Informatics; Institution; Mathematics; Medical center; Mentors; Methodology; Modeling; Patients; Postdoctoral Fellow; Publications; Records; Recruitment Activity; Reproducibility; Research; Research Personnel; Research Project Grants; Solid; Statistical Methods; Teacher Professional Development; Texas; Training; Training Programs; Ursidae Family; biomedical informatics; career; career development; graduate student; meetings; novel; pre-doctoral; programs; statistics; synergism

PROJECT SUMMARY/ABSTRACT We seek renewal of our NLM Training Program in Biomedical Informatics and Data Science (NLMTP), which for 24 years has consistently produced outstanding trainees as the program has evolved along with Biomedical Informatics (BMI) itself, successfully bringing computation, mathematics, statistics, 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 program to explore and exploit the synergies between BMI and Data Science (DS). Our training program will equip trainees with not only the current DS methodology, computational approaches, and statistical methods to solve BMI problems, but also solid and broad BMI foundations, enabling them to develop novel methodologies for attacking problems currently beyond our reach. Recent advances in BMI also bring to the forefront important issues that will be emphasized in our NLMTP including the need for effective communication of biomedical information to interdisciplinary audiences of clinicians, researchers and patients. We are well prepared to train graduate students and postdocs to meet BMI challenges. Our 40 training faculty are an integral part of the Texas Medical Center and have exemplary training and research records. They have trained 194 predocs and 206 postdocs over the past 10 years, and continue to be active, with 167 predocs and 93 postdocs currently in their labs. To date our faculty have disseminated their research in more than 812 publications with their predocs, and 1,736 with their postdocs. Our predoctoral trainees will have completed one year of study and have joined a lab at one of six NLMTP participating institutions before joining the NLMTP. Our postdoctoral trainees will be selected through national recruiting and from the labs of our training faculty at those institutions. NLMTP training will combine core courses and elective courses, training in the reproducibility of research, professional/career development activities, monthly meetings with experts, and interdisciplinary co-mentored research projects to engage our 9 pre- and 6 postdoctoral trainees with a range of opportunities in health care/clinical informatics, translational bioinformatics, and clinical research informatics to prepare them for a wide range of careers as the new generation of BMI professionals.

项目总结/摘要 我们寻求更新我们的NLM培训计划在生物医学信息学和数据科学（NLMTP）， 24年来，随着项目的发展，该项目一直在培养优秀的学员，沿着 生物医学信息学（BMI）本身，成功地将计算，数学，统计，建模，数据- 驱动推理和决策以及认知信息学的进步，以解决生物医学问题。 通过这次续约，我们将进一步扩大我们的计划，探索和利用BMI和 数据科学（DS）。我们的培训计划将使学员不仅掌握当前的DS方法， 计算方法和统计方法来解决BMI问题，但也有坚实和广泛的BMI 这些基础使他们能够开发新的方法来解决目前我们无法解决的问题。 BMI的最新进展也将我们的NLMTP中强调的重要问题带到了最前沿 包括需要向跨学科的受众有效地传播生物医学信息， 临床医生、研究人员和患者。我们做好了充分的准备，培养研究生和博士后， BMI挑战我们的40名培训教师是德克萨斯州医疗中心的一个组成部分，具有示范性的 培训和研究记录。在过去的10年里，他们培养了194名博士生和206名博士后， 继续活跃，目前有167名前博士和93名博士后在他们的实验室。到目前为止，我们的教师有 在超过812份出版物中传播了他们的研究成果，其中包括他们的前博士，以及1，736份博士后。 我们的博士前学员将完成一年的学习，并加入六个NLMTP之一的实验室 在加入NLMTP之前，参与机构。我们的博士后培训生将通过国家选拔 从这些机构的培训学院的实验室招募和招募。NLMTP培训将结合联合收割机核心 课程和选修课程，研究的可重复性培训，专业/职业发展 活动，每月与专家举行会议，以及跨学科共同指导的研究项目， 博士前和6名博士后实习生，在医疗保健/临床信息学，翻译 生物信息学和临床研究信息学，以准备他们的广泛的职业生涯作为新的 BMI专业人士