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

NLM 博士前和博士后生物医学信息学和数据科学研究培训计划

基本信息

批准号：
10656288
负责人：
Lydia E. Kavraki
金额：
$ 65.98万
依托单位：
RICE UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
1992
资助国家：
美国
起止时间：
1992-07-01 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10656288
关键词：
Affect Applied Research Appointment Area Artificial Intelligence Basic Science Bioinformatics Body mass index Career Mobility Clinical Clinical Informatics Clinical Research Cognitive Collaborations Coupled Data Data Science Decision Making Disease Ensure Evaluation Faculty Fostering Foundations Funding Future Generations Health Healthcare Human Informatics Institution Knowledge Knowledge acquisition Machine Learning Mathematics Mentors Methodology Modeling Patient Care Postdoctoral Fellow Productivity Public Health Reproducibility Research Research Project Grants Research Training Scientist Solid Statistical Methods Students Teacher Professional Development Training Training Programs Underrepresented Populations United States National Library of Medicine Woman Work biomedical informatics career career development clinical decision-making experience experimental study innovation invention meetings personalized medicine pre-doctoral programs recruit responsible research conduct skill acquisition statistics theories tool

项目摘要

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.

项目摘要/摘要我们寻求续签我们的NLM生物医学信息学和数据科学研究培训计划（NLMTP），这29年一直持续生产出杰出的博士后和博士后。计划随着生物医学信息学和数据科学（BMI和DS）本身的发展而发展成功带来计算，数据科学，应用数学，统计，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，以解决生物医学问题。通过这种续约，我们将进一步扩大我们的研究培训计划，以探索和利用动态 BMI和DS与人工智能（AI）的相互作用，包括机器学习及其在生物医学和人类健康与疾病。我们的计划不仅将为受训者提供固体DS 方法论和最新工具，计算方法和解决BMI问题的统计方法，但也提供广泛的基础，使他们能够发明未来的方法论目前无法解决的问题；这将产生新一代的BMI科学家，他们可以提取新的从经验和实验中的知识为基础研究，患者护理和公共卫生提供信息。我们，因此，寻求培训我们的学生和博士后，以在理论与实践，在知识获取和知识共享之间。我们的46位培训教师，具有广泛的专业知识在BMI中，DS和AI加上基础科学和临床知识，具有高度研究的记录生产力，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）团体的职业发展很强，在指导264 在过去的10年中，Predocs和337个博士后，有208个Predoc（31％UR，39％女性）和132个PostDocs （16％的UR，31％女性）目前正在实验室中。我们的9位学员将完成一年的学习并在加入NLMTP之前加入了六个参与机构之一的实验室（通常为3年任命），从而确保其研究项目非常适合NLM的培训领域。我们的6 博士后学员将通过国家招聘和我们教职员工的实验室选择，通常两年约会。 NLMTP培训将在BMI和DS，高级选修课程中结合核心课程，对严格和可重复性的培训以及负责任的研究，专业/职业发展活动，与专家的每月会议以及跨学科的卫生研究项目护理/临床信息学，转化生物信息学和临床研究信息学。我们的研究培训计划将定期接受外部专家的评估，并根据需要进行调整。这个程序将为学员提供获得技能，专业知识和智力能力以培养的绝佳机会创新的研究并为应用研究或相关职业做好准备影响个性化医学，临床决策和数据驱动健康等关键领域。