Health and Bioscience IDEAS - Imaging, Data structures, gEnetics and Analytical Strategies

我们将为大学、医院和企业的研究人员制定培训计划，帮助他们在研究中更好地利用医学图像数据。这些图像是由许多不同的机器生成的，例如显微镜、磁共振成像（MRI）扫描仪和计算机断层扫描（CT）扫描仪。这些技术不仅可以绘制人体结构图（从单个细胞到大型器官），还可以告诉你身体是如何运作的，比如血液是如何被输送到身体的不同部位的，或者哪里存在可能导致阿尔茨海默病的异常蛋白质。这些图像在一系列医学领域的许多最新科学发现中发挥了重要作用。因此，成像数据越来越多地用于研究，研究人员可以使用的成像数据量也在迅速增长，并提出新的科学问题。这意味着来自不同背景的研究人员现在有机会处理成像数据，并带来他们自己的专业知识和观点来回答有关各种疾病的新问题。然而，这些成像数据通常很复杂，难以处理，需要专业培训才能了解如何处理、处理并从这些图像中获得准确可靠的信息。这种培训通常不是大多数科学家标准课程的一部分，因此对于许多科学家来说，在开始涉及成像的研究方面，它可能是一个入门障碍。我们提出了一系列短期课程，将涵盖许多不同方面的工作与医学成像数据。最重要的是，随着影像中包含的敏感个人数据的安全性越来越受到关注，我们将重点向与会者讲授数据管理和保护方面的最佳实践。其中一些课程将作为密集的面对面讲习班提供，而其他课程将是在线课程，用户将设定自己的进度。这些课程将涵盖广泛的背景，从刚刚开始使用成像数据的新手到希望进行更高级、更复杂分析的人。我们还将开发一些课程，让一小部分人能够在自己的机构培训员工如何使用这些成像数据。我们在所有这些方面都有专家，他们将为课程开发讲座和练习，我们将聘请一名课程负责人，他将这些内容整合成一套有凝聚力的医学成像课程。我们会向参加课程的人士征求意见，以评估课程的成效，使课程切合社会需要，并加以改善。两年后，我们将使这个项目自给自足；由此产生的课程将继续提供给新的研究人员，对整个英国的参与者来说，收费既公平又有价值，同时从大学的角度来看，在经济上也是可持续的。在项目期间，我们将创建和培育一个网络，从促进参与者在课程期间和之后的互动开始，在英国各地创建一个由这些“具有成像素养”的研究人员组成的社区。我们希望这将为现有的大型项目带来一系列合作和临界质量。

We will develop a training program for researchers at universities, hospitals, and businesses that helps them better use data from medical images in their research. These images are generated from many different machines, such as microscopes, magnetic resonance imaging (MRI) scanners, and computer tomography (CT) scanners. These technologies not only can produce maps of the human body's structure (from single cells to large organs), but they can also tell you how the body is functioning, such as how blood is being delivered to different parts of the body or where abnormal proteins that could cause Alzheimer's disease are present. These images have played a major part in many recent scientific discoveries across a range of medical fields. As a result, imaging data is being used more often in research and the amount of imaging data available for researchers to work with and ask new scientific questions is also growing rapidly. This means that researchers from a diverse set of backgrounds now have the opportunity to work with imaging data and bring their own expertise and perspective to answering new questions about various diseases. However, this imaging data is often complex and difficult to work with, specialist training is required to understand how to handle, process, and obtain accurate and reliable information from these images. This training is often not a part of most scientists' standard curriculum, so it can be an entry barrier for many scientists in terms of getting started with research involving imaging. We are proposing a series of short courses that will cover many different aspects of working with medical imaging data. Most importantly, as security of the sensitive personal data contained in imaging becomes a greater concern, we will focus on teaching attendees about best practices in terms of data management and protection. Some of these courses will be given as intensive face-to-face workshops, while others will be online courses where the users will set their own pace. The courses will cover a wide range of backgrounds, from newcomers who are just getting started working with imaging data to those who wish to do more advanced, complex analysis. We will also develop some courses that will allow a smaller set of individuals be able to train staff at their own institutions about how to work with this imaging data. We have experts in all of these aspects who will develop the lectures and exercise for the courses, and we will hire a course leader who will combine this content into a cohesive set of courses about medical imaging. Feedback will be sought from those attending the courses, as to assess their effectiveness, tailor them to the needs of the community, and improve them. By the end of the two years, we will make this project self-sufficient after the 2 years; the resulting courses will continue to be delivered to new researchers, with a charge that is both fair and good value to attendees throughout the UK, while also being sustainable financially from the university's perspective. During the project we will create and nurture a network that starts with fostering interaction between attendees during and after the course, creating a community of these "imaging literate" researchers throughout the UK. We hope this will lead to a range of collaborations and critical-mass for exiting and large projects.