We here systematically summarize our practice and its effectiveness in the creation and development of the discipline proteomics in Academy of Military Medical Sciences,and the establishment of a system for identifying and training talented researchers in proteomics.The methods we used to train the researchers and to develop a vigorous team are discussed.These practices contributed much to the development of proteomics in China.

Abstract On 18 May 2021, the Center for Disease Control and Prevention (CDC) of X District in P City, Z Province received a co-investigation of a suspected case of intentional HIV transmission from the public security branch, and conducted epidemiological investigations on Zhao and Wang (both males). Wang was confirmed HIV-positive in 2019. Zhao had unprotected sexual encounters several times with Wang in March 2021 without being informed of Wang's HIV infection. Zhao developed fever, sore throat and other symptoms of acute infection phase on 28 March, and were confirmed HIV positive by the CDC of P City on 11 May. Zhao did not have sex with anyone else before or after having sex with Wang. In addition, Zhao had no history of surgery, blood transfusions, drug use or any other history of HIV exposure. Laboratory tests conducted by the CDC of Z Province showed that the HIV nucleic acid sequences between the samples of Zhao and Wang had a high degree of homology. Combined with the epidemiological investigation, laboratory testing and the evidence from the public security branch, it was concluded that Wang intentionally transmitted HIV to Zhao through unprotected anal sex without disclosing his HIV infection status.

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.

Objective To explore the application value of artificial intelligence(AI)combined with multi-slice spiral CT in screening pulmonary nodules in health examination population in govern-ment departments.Methods A retrospective analysis was conducted on the chest CT screening data of health examination population in government departments who had at least diameter of one nodule ≥3 mm.All data were analyzed using AI technology combined with manual film reading.The detection rate of pulmonary nodules was recorded.Based on the risk values predicted by AI technology,the nod-ules were divided into different risk groups,and the basic characteristics of the nodules were analyzed and compared.Results The detection rate of pulmonary nodules was 60.4％.High-risk patients were more likely to present as pure ground glass nodules or mixed ground glass nodules.The average age of individuals with pulmonary nodules was higher than those without(P＜0.05).There were sig-nificant differences in the basic characteristics of pulmonary nodules,including nature,morphology,internal signs,and external signs among different risk groups(P＜0.05).Conclusion Multi-slice spiral CT examination of the chest scan is helpful for screening pulmonary nodules in large-scale physi-cal examination populations.The combination of AI technology and manual film reading can improve the accuracy of pulmonary nodule screening.