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On February 16, 2020, experts organized by the Genomics, Proteomics and Bioinformatics (GPB), an authoritative bioinformatics journal in China, selected the "Top 10 Applications of Bioinformatics in China in 2019", and the research achievements of constructing gastritis cancer transformation single cell network and identifying very early cell markers in gastric cancer (Cell Reports 2019; 27,1934-1947), by the team led by Li Shao from the Department of Automation, Tsinghua University and Beijing National Research Center for Information Science and Technology, were selected. Zhang Peng, Professor Li's PhD student, was the first author of the paper. On January 27, 2020, the research achievements were selected as "The Most Concerned Scientific Progress in Single Cell Sequencing in 2019" by Sequencing China, a leading new media in the gene industry. The above achievements have received great attention both domestically and internationally after the paper publication, and have been recommended as the best "Exceptional" paper by the international authoritative academic evaluation institution F1000. It is worth mentioning that the gastric tissue single cell sequencing data obtained for the first time in this study has been made public to the academic community and recently has been successively quoted by four novel coronavirus (SARS-CoV-2) research papers. The data is used to study the digestive system infection pathway of SARS-CoV-2, the tissue distribution of SARS-CoV-2 receptor, and the drug development of anti-SARS-CoV-2, respectively.

Fig. 1. Research on Gastritis Cancer Transformation Single Cell Network and Very Early Cell Marker were selected as "Top 10 Applications of Bioinformatics in China in 2019" and "Most Concerned Scientific Progress in Single Cell Sequencing in 2019"

On January 15, 2020, the research on the synergistic regulation mechanism of the transformation network of inflammation and cancer by traditional Chinese medicine by Li Shao's research team (ACS Synthetic Biology 2019; 8:482−490, cover paper) were also selected as "Top 10 Headlines of Academic Topics in the China Association of Chinese Medicine in 2019".

Figure 2. Research on synergistic effect of inflammatory and cancer transformation network and synergistic intervention mechanism of traditional Chinese medicine was selected as part of the "Top 10 Headlines of Academic Topics in the China Association of Chinese Medicine in 2019"

Gastric cancer is a high-incidence tumor in China, and its prevention and treatment pose significant real-world challenges. Li Shao's research team has long been committed to developing new methods such as network pharmacology and artificial intelligence of traditional Chinese medicine, and exploring the establishment of a new prevention and control model of major diseases such as gastric cancer, which features the combination of intelligence and accuracy, as well as the integration of traditional Chinese and western medicine. Recently, the research team has made a number of breakthroughs in this direction, including the discovery of very early cell markers of gastric cancer, markers of tongue coating flora, and homologous Chinese medicine targeting precisely the transformation of gastritis cancer. The team has established the trinity patent system of "intelligent early warning, very early diagnosis, precise prevention and treatment" for gastric health, which has filled the gap in very early detection and intervention of gastric cancer and has been applied in high incidence areas of gastric cancer in Fuzhou. The above series of achievements provide a new way for utilizing big data and new artificial intelligence approaches to explore the original advantages of traditional Chinese medicine and promote the prevention and treatment of major diseases. At present, the research group is committed to applying this model to the intelligent and precise TCM auxiliary diagnosis and treatment of COVID-19.

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