Objective To explore the efficiency and the clinical application value of non-invasive prenatal genetic testing for fetal chromosomal aneuploidy.Methods A total of 1 865 pregnant women treated in Guangdong Women and Children Hospital from January 201 1 to January 2013 were selected.Inclusion criteria:advanced age,prenatal screening for high risk,and fetal abnormality indicated by color ultrasonography,agreeing with non-invasive prenatal genetic testing.After non-invasive prenatal genetic testing, the pregnant women with positive result underwent cell culture and chromosomal karyotyping.Following the situations after deliv-ery were designed as the final criteria for definite diagnosis of fetal chromosomal aneuploidy.Results A total of 1 865 pregnant women underwent non-invasive prenatal genetic testing,of which 21 pregnant women were found with positive result,including 14 pregnant women with trisomy 21,5 pregnant women with trisomy 18,2 pregnant women with trisomy 13.The results of chromo-somal karyotyping after amniocentesis or umbilical cord blood puncture were designed as golden standard.Among the women with trisomy 21,one woman refused the prenatal diagnosis,self induced labor and could not be confirmed karyotype.No false positive case was found among the women with trisomy 18 and 13.No missed diagnosis was found among the pregnant women with negative result during follow-up after delivery.Through statistical analysis of non-invasive prenatal fetal genetic testing,the sensitivity for the trisomy 21 was 100%,and the accuracy was 92.9%.The sensitivity and accuracy for the trisomy 18 and 13 were 100%.Conclu-sion Non-invasive prenatal genetic testing can improve the diagnostic efficacy before delivery,reduce the birth of ill infants,and it is a quick,safe,easy-accepted and reliable prenatal diagnostic method,which is worthy to be popularized and an inexorable trend of development in the future.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.

Using big data and artificial intelligence to establish a multi-point monitoring, early warning, and disposal system to achieve early warning and intervention of infectious disease outbreaks is an important means of controlling the spread of the epidemic. Taking Xiaoshan district as an example, this study analyzes the monitoring contents, warning methods, and application effectiveness of the infectious disease monitoring, early warning and disposal system. Based on Xiaoshan′s health big data resources, the system starts with syndrome, disease diagnosis and etiology. Through advanced technologies such as artificial intelligence and block chain, it realizes early identification of infectious disease outbreaks, data fusion, multi-cross collaboration, and closed-loop management. It has improved the sensitivity of clustered outbreaks monitoring and the effectiveness of epidemic disposal and provided a reference for grassroots disease prevention and control departments to establish an infectious disease monitoring and early warning system.