METEOR-Integrated Training Environment (METEORITE)

项目摘要 通过放射肿瘤学领域的现有进展，已经清楚地表明，成功是最好的 当生物学、物理学和临床医学专家合作时，就能实现这一目标。然而，随着技术的发展 治疗模式变得越来越复杂，专家们越来越难 保持各自专业领域的前沿专业化，同时融合到 促进多学科协作。虽然目前的研究生培训确实让学员接触到了田野 在他们自己之外，这种暴露不足以在整个领域发展有意义的研究合作 现代肿瘤学劳动力。正式的培训计划，既能提供广度，也能提供深度 肿瘤生物学、肿瘤免疫微环境、先进成像和治疗等主题领域 技术和信息学需要让受训者发展一套共同的跨学科 然后可以用来加速辐射肿瘤学多学科研究的基础。 考虑到在癌症生物学、医学物理学和临床领域产生的数据量 放射肿瘤学，我们设想我们的Robin计划跨越训练核心，陨石(流星 综合培训环境)，将使用数据科学和信息学作为共同语言 促进沟通和促进跨学科协作，最终目标是利用 这一模式跨越了Robin网络，以增加更大的肿瘤学工作人员之间的协作。 在目标1中，我们将首先在我们自己的流星知更鸟内部开发一个跨学科的培训计划 通过整合预先存在的课程和既定的培训计划来支持流星和 相关科学。学员将开发一种个性化的培训途径，使他们能够参与 在共同的课程作业的同时，也定制他们的学习。在目标2中，我们将开发新的数字 关键高需求主题的内容资源，如临床试验设计和TME的基本原理 供非专业人员在陨石内部使用，但也可在更广泛的Robin中传播 网络。最后，在目标3中，我们将开发和主办面对面和虚拟研讨会系列，并 举办研讨会，促进培训人员在流星内部和整个罗宾网络中的凝聚力。的目标是 这些系列研讨会和研讨会旨在培养Robin网络实习生的领导技能，并 也是为了确保我们开发的内容能够被传播和用于促进跨学科 未来劳动力中的协作。通过对陨石的资助，我们将产生资源和 职业发展专业知识，将促进未来NIH T32专注于培训的申请， 传播和推进多学科信息学伙伴关系放射肿瘤学。

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.