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

学生战略优先领域：产业合作研究关键词：数字病理学、人工智能、分型、结直肠癌组织病理学中数字技术的整合促进了有价值的、图像丰富的数据的传输，用于诊断、教育和研究，无疑将进一步使精确医学成为可能。近年来，人们一直在推动将定量分析过程纳入这些平台，以便将形态信息转换为定量数据，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，最近被集成到现有的数字病理平台中。这提供了一个独特的机会，利用图像分析，与人工智能，作为一个量化的数字工具，以帮助病理学家在复杂的解释组织为基础的切片。这带来了潜在的潜力，有助于促进诊断的一致性，吸收大数据，以便及早检测与疾病过程相关的微小变化，并与伴随诊断相结合，使患者分层预测治疗反应。该项目的目标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以及领先的行业病理成像解决方案公司OracleBio Ltd密切合作，利用人工智能进行的研究，不仅确定其对未来病理调查和研究的价值和影响，还协助实施一种新的胃肠癌预测指标。预计学生将在OracleBio有限公司学习50%的时间。OracleBio将提供图像分析平台，包括人工智能算法，并支持行业领先的定量组织专业知识。该项目将使人们能够在更广泛的研究和开发和商业背景下，发展疾病过程、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使用的知识。

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.