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

关键词：数字病理学，人工智能，亚型分型，结直肠癌组织病理学中数字技术的集成促进了诊断，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，有一种动力将定量分析过程纳入这些平台，以便形态学信息可以转换为定量数据，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，最近已被整合到现有的数字病理平台中。这为利用人工智能作为定量数字工具的图像分析提供了一个独特的机会，以协助病理学家对基于组织的切片进行复杂的解释。这有可能有助于诊断的一致性，吸收“大数据”以允许早期发现与疾病过程相关的微小变化，并与伴随诊断相结合，使患者分层以预测对治疗的反应。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组和爱德华兹组以及OracleBio有限公司（一家领先的行业病理成像解决方案公司）密切合作，利用人工智能进行研究，不仅确定其对未来病理调查和研究的价值和影响，而且还协助实施一种新的胃肠道癌症预测器。预计学生将花费高达50%的时间在OracleBio Ltd.。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。该项目将促进疾病过程知识的发展，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。

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.