The application of Artificial Intelligence in Pathology Research to discover, develop, validate and deliver novel diagnostics

人工智能在病理学研究中的应用，以发现、开发、验证和提供新颖的诊断方法

• 批准号: 2126665
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2018
• 资助国家: 英国
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2126665
• 关键词: application; Artificial; Intelligence; Pathology; Research

Studentship Strategic Priority Area:Industrial Collaborative ResearchKeywords: Digital Pathology, Artificial Intelligence, Subtyping, Colorectal CancerThe integration of digital technology within Histopathology has facilitated the transfer of valuable image-rich data for the purposes of diagnosis, education and research and will undoubtedly further enable precision medicine.Over recent years, there has been a drive to incorporate quantitative analysis processes into these platforms so that morphological information can be converted into quantitative data, for research and clinical applications. Artificial Intelligence (AI), which involves the utilization of deep learning technologies, has recently been integrated within existing digital pathology platforms. This provides a unique opportunity to utilize image analysis, with AI, as a quantitative digital tool, to assist Pathologists in the complex interpretations of tissue-based sections. This brings the potential to contribute to consistency in diagnosis, assimilate 'big data' to permit early detection of minor changes associated with disease processes and, in conjunction with companion diagnostics, enable patient stratification for predicting response to therapies.The aim of the project is for a biomedical scientist or biologist to work closely with the Pathology group and Edwards group in Institute of Cancer Sciences University of Glasgow and OracleBio Ltd, a leading industry-based pathology imaging solutions company, to leverage research using AI to not only determine its value and impact for future pathology investigations and research, but also to assist in the implementation of a novel predictor in gastrointestinal cancer. It is expected that the student will spend up to 50% of their time at OracleBio Ltd. OracleBio will provide image analysis platforms, including AI algorithms, and the support of industry leading quantitative tissue-based expertise.The project will enable development of knowledge of disease processes, histopathology tissue recognition, application of molecular techniques and computer science algorithms used on digital image analysis platforms, within wider research and development and commercial contexts.

学生奖学金战略优先领域：产业合作研究关键词：数字病理学、人工智能、分型、结直肠癌数字技术在病理学中的整合促进了用于诊断、教育和研究目的的有价值的图像丰富数据的转移，无疑将进一步实现精准医疗。近年来，存在将定量分析过程结合到这些平台中的驱动力，使得形态学信息可以转换成定量数据，用于研究和临床应用。人工智能（AI）涉及深度学习技术的利用，最近已被集成到现有的数字病理学平台中。这提供了一个独特的机会，利用图像分析，人工智能，作为定量数字工具，以协助病理学家在复杂的解释组织为基础的部分。这带来了有助于诊断一致性的潜力，吸收“大数据”以允许早期检测与疾病过程相关的微小变化，并与伴随诊断相结合，该项目的目的是让生物医学科学家或生物学家与格拉斯哥大学癌症科学研究所的病理学小组和爱德华兹小组密切合作，和领先的行业病理成像解决方案公司OracleBio Ltd，利用人工智能的研究，不仅确定其对未来病理学调查和研究的价值和影响，还帮助实施胃肠道癌症的新型预测因子。预计学生将在OracleBio Ltd.花费高达50%的时间。OracleBio将提供图像分析平台，包括人工智能算法，以及行业领先的定量组织专业知识的支持。该项目将使疾病过程，组织病理学组织识别，分子技术和计算机科学算法在数字图像分析平台上的应用，在更广泛的研发和商业背景下。