NLM Training Program in Biomedical Informatics for Predoc & Postdoctoral Fellows

描述（由申请人提供）：我们寻求更新我们的NLM生物医学信息学培训计划（NLMTP），NLM已经支持了二十年。该计划，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，我们将解决BMI面临的新挑战，这些挑战来自于无数传感器、仪器和模拟的数字信息流，这些数字信息流超出了我们积累、组织和分析这些数字信息的能力。1）理解可能是海量的、异构的甚至包含错误的数据集，2）从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。这些都是基本的BMI问题，我们将在NLMTP更新中解决。我们将强调医疗保健/临床信息学（HC），转化生物信息学（TB）和临床研究信息学（CR），在这些领域，我们的学员将有助于获得嵌入在基因组学，蛋白质组学，遗传学，流行病学和临床数据中的全部知识财富，并充分回报我们在健康信息技术方面的大量投资。我们的学员将为这些BMI领域中的每一个领域带来我们所谓的数据驱动的推理和决策（DIDM），我们的意思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隐藏了这种关系，甚至专家人类和认知信息学和决策，使这种发现的模式对人类来说是可理解的。我们的博士前实习生将从研究生谁已经完成了一年的研究在六个参与机构之一选择。NMLTP培训将结合联合收割机DIDM和BMI的具体课程和研究，使他们参与上述HC、TB和CR的各种机会。我们还将让博士前和博士后学员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带来了计算，数学，统计，模拟和先进的成像，以承担生物医学问题，以前被认为是棘手的。现在，我们的研究人员正在部署强大的新计算方法，以前所未有的规模进行数据探索，为培训新一代BMI专业人员提供令人兴奋的机会。我们正在申请9个博士前和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.