2018年4月12日，受深圳市委书记王伟中、市长陈如桂的委托，深圳市副市长高自民会见了易特科集团首席科学家、2014年诺贝尔医学奖得主Edvard Moser 教授以及董事长兼CEO张贯京先生一行，听取了易特科集团以及坪山区政府关于共建智慧医疗诺奖实验室的项目进展汇报，表示充分支持和高度关注，并做出了重要指示。坪山区区委副书记、区长陶永欣、深圳市科创委主任梁永生、深圳市卫计委副主任刘堃、深圳市外办副主任孙怀忠也参加了会见。
Edvard Moser 教授则表示，他希望通过其脑科学研究方面的成果，与在深的创新团队开展生物医疗领域的跨界合作，为人类健康事业创造更多福祉。他表示，他的大量工作是通过研究正常大脑的运行机制来探索与阿尔兹海默类似病症的发病机理，并期望找到阿尔兹海默病的早期生物标志物和早期分子诊断原理。这次与易特科集团（前海安测）携手合作，在坪山区共建智慧医疗诺奖实验室，他的团队从事大脑研究已有二十多年，而（易特科集团）前海安测在疾病监测方面颇有经验、研究成果卓著，且拥有全球第四中国第一的智慧医疗专利，双方各取所长，相信一定会在大脑定位和记忆疾病方面，例如阿尔兹海默病，取得突破性进展，为中国的大健康产业和公共卫生，为人类战胜目前最为严峻的脑神经紊乱疾病做出贡献。
On April 12, 2018, commissioned by Secretary of Shenzhen Party Committee Wang Weizhong and Mayor Chen Rugui, Shenzhen Vice Mayor Gao Zimin met with E-Techco Group Chief Scientist, 2014 Nobel Prize-winning Professor Edvard Moser and Chairman and CEO. Mr. Zhang Guanjing and his teams listened to the E-Techco Group and the Pingshan District Government's report on the progress of the project to jointly build the Smart Healthcare Nobel Prize Laboratory. They expressed their full support and attention and made important instructions. Tao Yongxin, head of Pingshan District, Liang Yongsheng, director of the Shenzhen Branch, and Liu Yong, deputy director of the Shenzhen Municipal Health and Development Commission, and Sun Huaizhong, deputy director of the Shenzhen Foreign Affairs Office also attended the meeting.
Vice Mayor Gao Zimin stated that Shenzhen has always been committed to promoting basic research and applied research in science and technology, and encouraging companies, research institutes, and universities to cooperate with the world's leading scientists. He hopes that the Moser innovation team will carry out concrete and pragmatic research and achievement transformation projects in Shenzhen to help Shenzhen's biotechnology and life and health industries lead the global development trend.
Prof. Edvard Moser stated that he hopes to create more benefits for human health through cross-border cooperation in the field of biomedicine with deep innovation teams through his achievements in brain science research. He said that much of his work is to explore the pathogenesis of similar disorders with Alzheimer's by studying the normal brain's operating mechanism, and hope to find early biomarkers and early molecular diagnostic principles of Alzheimer's disease. This time, we cooperated with Qianhai AnyCheck and built a smart medical Nobel laboratory. His team has been engaged in brain research for more than 20 years. Qianhai AnyCheck has experienced in disease monitoring and has achieved outstanding research results. The director believes that he will definitely make breakthroughs in brain localization and memory diseases, such as Alzheimer's disease, and contribute to China's great health industry and public health, and for humanity to overcome the most severe brain disorder.
Qianhai AnyCheck Edvard Nobel Prize Lab is based on common Alzheimer's disease and is dedicated to neuroscience-related research and industrial applications. After the project is completed, it will form AD testing services, health management, prevention and intervention, and VR pathology. Presentation and tracking, memory enhancer and other products and services, development of personalized database and connection and safety of chronic disease health management platform, and in our countrywide cooperation of more than 650 medical institutions to select the best application demonstration, driving the city We are at the forefront of the nation in the field of “Smart Medical + Smart Health + Smart Pension + AI”.
E-Techco group (Shenzhen E-Techco Information Technology Co., Ltd.) registered capital of 1 billion yuan. And E-Techco Group (Qianhai AnyCheck) is a High-Tech enterprise with 15 years R&D and service background, which focuses on Internet & medical & health & geriatric service, and it is in the domestic and overseas leading level of biosensor, life searching and positioning, medical informatization, health management, chronic diseases prevention, TCM preventive medicine technology provider and service practitioner. The company HQ is located in Shenzhen, with branches based in Guangzhou, Beijing, Tianjin, Xian, Shijiazhuang, Fuzhou, Shanghai, Hong Kong, with overseas institutes in north Ireland, American Silicon Valley, Toronto and so on. The number of health management centers owned and operated by E-Techco increased to nearly 90. It has more than 650 grade-2&class-A hospitals, grade 3&class 1 hospitals, and all levels health and medical institutions. The national market have been fully opened, intelligent self-help integrated machine, internet & chronic disease management, internet & emergency, internet & TCM, cloud HIS and other medical informatization products have been widely acclaimed by customers. Its business expanded to Canada, America, EU and other countries and regions. In 2017, the total annual revenue of etek group exceeded 1.6 billion RMB.
In recent years, through cooperation with famous universities and research institutes at home and abroad, E-Techco (Qianhai AnyCheck) introduced the top level talent teams at home and abroad, and continued to carry out continuous innovative exploration and industrial application in the field of artificial intelligence and intelligent medical treatment. Independent research and development of TCM Constitution identification instrument, disease prevention and service system of products and services, is a combination of traditional Chinese medicine theory and information technology with artificial intelligence technology, the application in the field of Chinese medicine, Chinese medicine to improve the digital information and intelligent level has made a major breakthrough innovation, which has been fully recognized by the State Administration of traditional Chinese medicine, China Academy of traditional Chinese medicine, Chinese Medicine Institute and many other leaders and experts. In addition, E-techco Group R & D team will artificial intelligence combined with health care, using conditional random fields (CRF), recurrent neural network (RNN), convolutional neural network (CNN) and other deep learning algorithms, to solve the Natural Language Processing (NLP) of the named entity recognition, modification, text classification problems. To construct the medical knowledge map, combined with the related decision algorithm and model applied to clinical data center (CDR), electronic medical records system (EMR), clinical information system (CIS), health management system (PEIS), the clinical decision support (CDSS), medical record retrieval and analysis (CP), mining and application medical data (DATA MINING), Such innovative applications are leading the way across the country and even around the world.