Smart web-based medical viewer for AI-based for EGFR mutation detection

法特梅·阿梅里博士是Precious MD的现任首席执行官，这是一家医疗技术公司，专门为肺癌基因突变检测提供非侵入性、人工智能支持的解决方案。她拥有计算机工程、电子商务和营销方面的背景。她于2015年在曼彻斯特大学获得商业和管理博士学位，之后立即成为曼彻斯特商学院市场营销学的讲师(助理教授)。她的大学研究主要集中在在线医疗服务提供商的商业模式、在线健康信息和生物医学技术的商业化。作为一名讲师和研究员，她在学术界积累了近4年的必要知识，开始了追求创业抱负的旅程。在与曼彻斯特大学保持联系的同时，她搬到了剑桥，扩大了自己的关系网，并与新的创新者、初创企业、医疗从业者和投资者建立了相互关系。为了创造一个可行的商业机会，她通过查阅文献并与这两个领域的关键意见领袖沟通，学习和理解了人工智能和医学的最新趋势。然后，她于2019年创立了PreciousMD，这是一家由人工智能驱动的医学图像分析公司。她目前在Precious MD的目标是开发一种强大而准确的方法，仅使用人工智能和患者的CT(计算机断层扫描)图像来检测肺癌中的某些基因突变(表皮生长因子受体或EGFR)。

Dr. Fatemeh Ameri is the current CEO of Precious MD, a medical technology firm specialising in providing non-invasive, AI powered solutions for detection of gene mutations in lung cancer.She has backgrounds in Computer engineering, Electronic commerce and Marketing. She received her PhD in Business and Management from University of Manchester in 2015 and became a lecturer (assistant professor) in Marketing at Manchester Business School right after. Her university research were primarily focused on business models of online health service providers, Online health information and Commercialization of biomedical technologies.Having accumulated the necessary knowledge in academia for nearly 4 years as a lecturer and researcher, she embarked on a journey to pursue her aspirations in entrepreneurship.Whilst keeping her contacts with the University of Manchester, she moved to Cambridge to expand her network and foster mutual relationships with new innovators, start-ups, medical practitioners and investors. To craft a viable business opportunity, she learned and understood the state-of -the-art rends in AI and medicine through consulting the literature and communication with key opinion leaders of both fields.She then founded PreciousMD in 2019, an AI driven medical image analytic firm. Her current goal at Precious MD is to develop a robust and accurate method for detection of certain gene mutations (epidermic growth factor receptor or EGFR) in lung cancer utilising solely AI and patients' CT (Computed Tomography) images.