METEOR-Integrated Training Environment (METEORITE)

METEOR-综合训练环境（METEORITE）

• 批准号: 10715026
• 负责人: Geoffrey D Hugo
• 金额: $ 7.94万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10715026
• 关键词: Acceleration; Accreditation; Area; Biological Markers; Biology; Cancer Biology; Clinical; Clinical Medicine; Clinical Trials Design; Collaborations; Combined Modality Therapy; Communication; Competence; Complex; Data; Data Science; Development; Discipline; Doctor of Philosophy; Ensure; Environment; Face; Faculty; Fellowship Program; Fostering; Foundations; Funding; Future; Goals; Image; Individual; Informatics; Interdisciplinary Study; International; Language; Leadership; Learning; Machine Learning; Malignant Neoplasms; Medical; Mentors; Methodology; Methods; Modeling; Modernization; Molecular Biology; Molecular Immunology; Oncology; Pathway interactions; Persons; Physicians; Physics; Process; Radiation; Radiation Oncologist; Radiation Oncology; Radiation therapy; Radiobiology; Relapse; Research; Research Design; Research Personnel; Resource Development; Resources; Role; Science; Scientific Advances and Accomplishments; Series; Societies; Students; Technology; Time; Training; Training Programs; Tumor Biology; Tumor-Derived; United States National Institutes of Health; Universities; Visualization; Washington; Work; biomedical informatics; cancer imaging; career development; certificate program; clinical translation; cohesion; data management; data visualization; design; digital; interdisciplinary collaboration; learning materials; meetings; multidisciplinary; programs; radiation resistance; scientific organization; skills; success; symposium; theories; tool; treatment planning; tumor; tumor microenvironment; tumor-immune system interactions; virtual

Project Summary Through existing advances in the field of radiation oncology, it has become clear that success is best achieved when experts in biology, physics, and clinical medicine collaborate. However, as technology and treatment paradigms grow more complex, it has become increasingly difficult for experts to maintain cutting-edge specialization in their own specific discipline and at the same time, converge to facilitate multi-disciplinary collaboration. While current graduate training does expose trainees to fields outside their own, this exposure is insufficient to develop meaningful research collaborations across the modern oncology workforce. A formal training program that can provide both breadth and depth in the theme areas of tumor biology, tumor immune microenvironment, advanced imaging and treatment technologies, and informatics is needed to allow trainees to develop a set of common cross-disciplinary fundamentals that can then be used to accelerate multidisciplinary research in radiation oncology. Given the amount of data generated in the fields of cancer biology, medical physics, and clinical radiation oncology, we envision that our ROBIN program cross training core, METEORITE (METEOR Integrated Training Environment), will use data science and informatics as the common language to facilitate communication and promote interdisciplinary collaboration, with the ultimate goal of leveraging this model across the ROBIN network to increase collaboration among the larger oncology workforce. In Aim 1, we will first develop an interdisciplinary training program within our own METEOR ROBIN Center by integrating pre-existing courses and established training programs to support METEOR and related science. Trainees will develop an individualized training pathway that will allow them to partake in common coursework while also customizing their learning. In Aim 2, we will develop new digital content resources for key high need topics such as clinical trial design and the fundamentals of TME for non-specialists to be used within METEORITE but also disseminated across the wider ROBIN network. Finally, in Aim 3, we will develop and host both in-person and virtual seminar series and symposia to promote trainee cohesion within METEOR and across the ROBIN network. The goal of these seminar series and symposia is to develop leadership skills among ROBIN network trainees and also to ensure our developed content can be disseminated and used to promote interdisciplinary collaboration in the future workforce. Through funding of METEORITE, we will generate resources and career development expertise that will facilitate a future NIH T32 application focused on training, disseminating and advancing multidisciplinary informatic partnerships radiation oncology.

项目摘要 通过辐射肿瘤学领域的现有进步，很明显成功是最好的 在生物学，物理和临床医学合作方面的专家时就可以实现。但是，作为技术 治疗范例变得越来越复杂，专家们越来越难以理解 在自己的特定学科中保持尖端专业化，同时融合到 促进多学科合作。虽然目前的研究生培训确实使学员接触到领域 在他们自己之外，这种曝光不足以在跨越有意义的研究合作 现代肿瘤学劳动力。一个正式的培训计划，可以提供广度和深度 肿瘤生物学，肿瘤免疫微环境，高级成像和治疗的主题领域 需要技术和信息学，以允许学员开发一组常见的跨学科 然后可以用来加速放射肿瘤学多学科研究的基本原理。 鉴于癌症生物学，医学物理学和临床领域产生的数据量 辐射肿瘤学，我们设想我们的罗宾计划交叉训练核心，陨石（流星 集成培训环境），将使用数据科学和信息学作为通用语言 促进沟通并促进跨学科的合作，以实现利用 该模型在Robin网络上，以增加较大的肿瘤学劳动力之间的合作。 在AIM 1中，我们将首先在我们自己的流星Robin中制定跨学科培训计划 通过整合现有的课程和建立的培训计划，以支持流星和 相关科学。学员将开发一个个性化的培训途径，使他们能够参加 在常见的课程中，同时也定制学习。在AIM 2中，我们将开发新的数字 关键高需求的内容资源，例如临床试验设计和TME的基础知识 对于非专家来说，在陨石中使用，但也散布在更广泛的知更刺的地方 网络。最后，在AIM 3中，我们将开发和主持面对面和虚拟研讨会系列以及 座谈会促进流星和罗宾网络内的学员凝聚力。目标 这些研讨会系列和研讨会是在罗宾网络受训者和 还可以确保我们的开发内容可以传播并用于促进跨学科 未来的劳动力协作。通过陨石的资金，我们将产生资源，并 职业发展专业知识将促进未来的NIH T32申请，专注于培训， 传播和推进多学科信息伙伴关系辐射肿瘤学。