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Medical Imaging Informatics Training Grant

医学影像信息学培训补助金

基本信息

批准号：
10488194
负责人：
ALEX BUI
金额：
$ 17.32万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-01 至 2024-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10488194
关键词：
Grant Medical Imaging informatics training

项目摘要

ABSTRACT (PROJECT DESCRIPTION) With the “digital era of biomedicine” upon us, exciting opportunities arise to revolutionize how we perform scien- tific research and deliver healthcare. Burgeoning areas like precision medicine foreshadow a transformation of how we understand disease and its individually-tailored treatment. In this context, the importance of imaging continues to grow, both as a driver of new knowledge and as a vital tool which uses these insights towards better detection, diagnosis, and treatment for patients. But achieving the full promise of this future still requires over- coming many barriers, and new imaging informaticians must be equipped with the cutting-edge skills that will create and support the necessary computational advances and methods. The UCLA Medical Imaging Informatics (MII) training program aims to be a leader in training this next generation of imaging informaticians who will develop the needed computational approaches and applications that enable this future. Bringing together leading experts from across our institution in imaging, engineering (computer and data science, electrical, bioengineering), (bio)statistics, and medicine, MII envisions an environment fostering interdisciplinary teaching and mentoring of students; and promoting innovative research throughout the spectrum of imaging informatics. MII's training program involves a comprehensive 1-year core curriculum introducing foun- dational principles of the discipline, forming a breadth of understanding while reinforcing the technical proficien- cies needed by any imaging informatician. Students complete coursework covering topics presented from the perspective of medical imaging and healthcare, including: information architectures; data and knowledge repre- sentation; data mining; machine learning; biostatistics; and information retrieval. Cross-cutting topics (e.g., radi- ogenomics, multimodal data integration and biomarker development) are presented throughout these courses. In parallel to the core curriculum, students are immediately engaged in research, completing rotations with faculty to gain an appreciation for contemporary imaging informatics projects. With this experience, PhD students sub- sequently specialize via more advanced elective coursework customized to their particular research interests. Students are challenged to propose, develop, and test new imaging informatics methods that will advance the discipline, as well as ultimately change and affect healthcare. Importantly, both training and research are inter- woven within a biomedical application domain and with appropriate PhD and MD mentorship to ensure compu- tational/informatics, clinical, and real-world translational insights and guidance. Recognizing the evolving land- scape of the biomedical workforce, our T32 includes a number of professional development activities, including internships, providing practical (research) experiences in different settings. Through the experiences gained dur- ing this T32 training program, MII students will become independent scientists, prepared to contribute to and lead imaging informatics as it continues to grow.

摘要（项目描述）随着“生物医学的数字时代”的到来，令人兴奋的机会出现了，以彻底改变我们如何进行科学研究。促进研究和提供医疗保健。像精准医学这样的新兴领域预示着我们如何理解疾病及其个性化治疗。在这种情况下，成像的重要性继续增长，既作为新知识的驱动力，也作为一个重要的工具，利用这些见解，检测、诊断和治疗患者。但是，要实现这一未来的全部承诺，仍然需要超过- 未来的许多障碍，新的成像信息学家必须配备尖端技能，将创造和支持必要的计算进步和方法。加州大学洛杉矶分校医学成像信息学（MII）培训计划的目标是成为培训下一代的领导者成像信息学家谁将开发所需的计算方法和应用程序，使这个未来汇集了来自我们机构的成像、工程（计算机和数据科学，电气，生物工程），（生物）统计学和医学，信息产业部设想一个环境，跨学科教学和学生辅导;促进整个领域的创新研究图像信息学的一部分。信息产业部的培训计划包括一个全面的1年核心课程，介绍了四个- 学科的国际原则，形成理解的广度，同时加强技术专业人员- 这是任何图像信息学家所需要的。学生完成课程作业，涵盖从医疗成像和医疗保健的角度，包括：信息架构;数据和知识表示，感知;数据挖掘;机器学习;生物统计学;和信息检索。跨领域专题（例如，放射性，放射性基因组学、多模式数据整合和生物标志物开发）。在核心课程的同时，学生立即从事研究，与教师完成轮换以获得对当代成像信息学项目的赞赏。有了这个经验，博士生分- 通过更先进的选修课程定制他们的特定研究兴趣的专业化。学生们面临的挑战是提出，开发和测试新的成像信息学方法，这将促进纪律，以及最终改变和影响医疗保健。重要的是，培训和研究都是相互的，编织在生物医学应用领域，并与适当的博士和博士导师，以确保compu，理论/信息学、临床和现实世界的翻译见解和指导。认识到不断发展的土地- 我们的T32包括一些专业发展活动，包括实习，在不同的环境中提供实践（研究）经验。通过这些经验，通过这个T32培训计划，信息产业部的学生将成为独立的科学家，准备为领导成像信息学，因为它继续增长。