China News Service, Chongqing, May 16 (Reporter Liu Xian) The reporter learned from the Liangjiang New District in Chongqing on the 16th that Liangjiang New District, Guangzhou Respiratory Health Research Institute, and Guangzhou Tianpeng Computer Technology Co., Ltd. (referred to as "Tianpeng Big Data") will work together Build Tianpeng healthcare big data and artificial intelligence application innovation platform project.
The project will establish the Nanshan Health and Medical Big Data Artificial Intelligence Research Institute (hereinafter referred to as the “Research Institute”) in Liangjiang New District. It is reported that Zhong Nanshan, academician of the Chinese Academy of Engineering and director of the National Center for Respiratory Disease Clinical Medicine Research, will serve as the honorary president of the Institute, and hopes to build this cooperative medical big data and artificial intelligence application innovation platform into an internationally leading demonstration project .
At present, the Liangjiang New District has formed a biomedicine industry cluster covering an area of nearly 5,000 acres. There are more than 2,000 large health companies, covering innovative drug research and development, high-end preparation production, high-end medical equipment and consumables industrialization, high-end medical service institutions, pharmaceutical circulation And many other fields.
Wang Zhijie, deputy secretary of the Party Working Committee of Liangjiang New District and executive deputy director of the Management Committee, said that the settlement of the project is of great significance to the high-quality development of Chongqing and Liangjiang New District's large health industry and the improvement of the public health system.
Relying on the Guangzhou Respiratory Health Research Institute, the Institute established a big data cloud platform for respiratory medical systems through cooperation with top experts, covering major medical institutions in the region. The institute will also cooperate with Chongqing's medical and health field to promote the innovative application of artificial intelligence in clinical medicine, clinical research, health and epidemic prevention, public emergency, and health services.
One of the highlights of cooperation is to empower big health industry with big data. It is reported that the project will give full play to the advantages of Tianpeng big data on the basis of building a specialist big data platform, and analyze and process medical big data through artificial intelligence technology; and on this basis, from clinical medicine, clinical research, health and epidemic prevention , Public emergency, health services and other aspects to improve the medical environment, improve the medical level and patient service capabilities, explore and develop the "online medical" service model, promote big data, 5G and other technologies in monitoring and early warning, virus tracing, new drug screening, prevention and treatment, etc. Expansion of application.
According to the plan, the Liangjiang New District will introduce the National Respiratory Disease Big Data Center project. Medical institutions will take the lead in cooperating with Tianpeng Big Data to build respiratory disease data standards, quality control standards and diagnosis and treatment standards that meet the regional characteristics to realize the data of medical institutions in the region. Connect with each other, and gradually establish a big data quality control center for respiratory specialties, a big data center for lung function, and other major medical big data cloud platforms in Liangjiang New District; on this basis, an orderly build of a large medical cloud data platform for respiratory medicine and "Chongqing Intelligent Infectious Disease Forecast Platform" and "Chongqing Medical Emergency Treatment Platform".
In addition, the project will use big data to integrate relevant industries in Chongqing and even the entire southwestern region, and promote the in-depth integration of big data, artificial intelligence, the Internet and the big health industry, so as to form a source of health, big data industry development, agglomeration areas and The new business cluster of biomedicine.