NLM Training Program in Biomedical Informatics for Predoc & Postdoctoral Fellows

描述(由申请者提供)：我们寻求更新我们的NLM生物医学信息学(NLMTP)培训计划，NLM已经支持了20年。该项目随着生物医学信息学(BMI)本身的发展而发展，一直培养出优秀的学员。在这次更新中，我们解决了来自无数传感器、仪器和模拟的数字信息流给BMI带来的新挑战，这些信息流超出了我们积累、组织和分析信息的能力。需要在BMI方面取得进展：1)理解可能是海量的、异质的甚至包含错误的数据集，2)从它们中挑选出对生物医学基本问题的重要见解，3)以研究人员和临床医生容易理解的方式传达信息。这些是基本的BMI问题，我们将在NLMTP续订中解决这些问题。我们将重点强调医疗保健/临床信息学(HC)、转化性生物信息学(TB)和临床研究信息学(CR)，在这些领域，我们的学员将为获得基因组、蛋白质组、遗传、流行病学和临床数据中嵌入的全部丰富知识所需的进展做出贡献，并充分回报我们在卫生信息技术方面的重大投资。我们的受训人员将为每个BMI领域带来我们所称的数据驱动的推理和决策(DIDM)，我们指的是使用计算机程序在数据库中寻找关联，这些数据库的复杂性甚至对专家人类和认知信息学和决策都隐藏了这种关系，以使人类能够理解这些发现的模式。我们的博士前实习生将从在六个参与机构之一完成一年学习的研究生中挑选出来。NMLTP培训将结合DIDM和BMI的具体课程和研究，使他们参与上文建议的HC、TB和CR方面的一系列机会。我们还将让博士后和博士后实习生参加一系列课程和活动，以促进他们融入BMI社区。多年来，我们的NLMTP将计算、数学、统计学、模拟和先进的成像技术引入到生物医学问题中，这些问题以前被认为是难以解决的。现在，我们的研究人员正在以前所未有的规模部署强大的新计算方法来探索数据，这为培训新一代BMI专业人员提供了令人兴奋的机会。我们为这次更新申请9个博士后和6个博士后职位。

DESCRIPTION (provided by applicant): We seek renewal of our NLM Training Program in Biomedical Informatics (NLMTP), which the NLM has supported for twenty years. The program, evolving as biomedical informatics (BMI) itself has evolved, has consistently produced outstanding trainees. In this renewal, we address new challenges to BMI arising from digital information streaming from innumerable sensors, instruments and simulations, which are outrunning our capacity to accumulate, organize and analyze it. Advances in BMI are needed: 1) to make sense of datasets that may be massive, heterogeneous or even contain errors, 2) to cull from them important insights into fundamental problems of biomedicine and 3) to convey information in ways readily understood by researchers and clinicians. These are fundamental BMI problems, which we will address in the NLMTP renewal. We will emphasize health care/clinical informatics (HC), translational bioinformatics (TB) and clinical research informatics (CR), areas in which our trainees will contribute to progress needed to gain the full wealth of knowledge embedded in genomic, proteomic, genetic, epidemiological, and clinical data and a full return on our substantial investments in health information technology. Our trainees will bring to each of these BMI domains what we call data-driven inference and decision making (DIDM) by which we mean the use computer programs to seek associations in databases whose complexity hides such relations from even expert humans and cognitive informatics and decision making to make such discovered patterns intelligible to humans. Our pre-doctoral trainees will be selected from graduate students who have completed one year of study at one of six participating institutions. NMLTP training will combine DIDM and BMI specific courses and research to engage them with the range of opportunities in HC, TB and CR suggested above. We also will involve pre- and postdoctoral trainees in a set of courses and activities to facilitate their integration into the BMI community. Over many years, our NLMTP has brought computation, mathematics, statistics, simulation and advanced imaging to bear on biomedical problems that were before deemed intractable. Now our researchers are deploying powerful new computational methodologies for data exploration on an unprecedented scale that offer exciting opportunities for the training to prepare a new generation of BMI professionals. We are requesting 9 pre-doctoral and 6 postdoctoral positions for this renewal.