Hu Wensheng (Chief Physician)
Discipline: Obstetrics and Gynecology
Education: PhD
Position: Vice President
Affiliation: Hangzhou Obstetrics and Gynecology Hospital
Address: No. 369, Kunpeng Road, Shangcheng District, Hangzhou
Specialist Profile：
Working in Hangzhou Obstetrics and Gynecology Hospital; China Medical Geneticists Association, Maternal and Child Health Care Committee, China Maternal and Child Health Association, Maternal and Fetal Medicine Branch, Zhejiang Maternal and Child Health Association, Zhejiang Medical Association, Genetic Medicine Branch, Zhejiang Medical Association, Perinatal Medicine Branch, Hangzhou Medical Association, Perinatal Branch
Research Direction：
Obstetrics, maternal-fetal medicine, prenatal diagnosis
Research Projects
1 National Natural Science Foundation of China, 82173530, Study on the influence of host genetic-gut flora interactions on glucose metabolism balance during pregnancy and its mechanism
2 National Health Research Foundation of Zhejiang Province, WKJ-ZJ-1911, Risk assessment of metabolic syndrome in pregnancy and prediction of offspring physical development based on heterogeneous big data
3 Zhejiang Provincial Science and Technology Department, "Pointer" and "Leader Goose" Research and Development Project, 2022C03102, Research and Technology of Building Machine Learning Models for Predicting Metabolic Syndrome in Pregnancy/Infant Obesity in Offspring Based on Maternal and Childhood Big Data and Multi-omics Information Application
4 Hangzhou Science and Technology Bureau, Social Development Research and Design Project (Major), 20180417A02, Impact of intrauterine exposure to environmental estrogen disruptors on growth and development of infants and children and establishment of assessment system
5 Hangzhou Science and Technology Bureau Social Development Scientific Research Independent Declaration Project, 20180533B84, Establishment and application of serum characteristic bile acid profile in pregnant women with intrahepatic cholestasis during pregnancy
6 Key Project of Hangzhou Health Science and Technology Program, ZD20200035, Deep Learning Optimized Birth Weight Prediction Model and Application Research Based on Maternal and Childhood Big Data
Academic achievements
1. Lu S, Fu Y, Wu YY, Hu W*. Mediating Effects of Maternal Blood Triglycerides on the Relationship between Pre-Pregnancy Body Mass Index and Fetal Macrosomia. J Pediatr. 2020;S0022-3476(20)30854-4.
2. Fu Y, Gou W, Hu W, et al. Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort. BMC Med. 2020;18(1):184.
3. Hu WS, Lu S, Xu MY, Zhou MC, Yuan ZM, Deng YY. Behavioral Responses of Pregnant Women to the Early Stage of COVID-19 Pandemic in the Network Era in China: Online Questionnaire Study. Asian Nurs Res (Korean Soc Nurs Sci). 2021;15(3):215-221. doi: 10.1016/j.anr.2021.06.003.
4. Chen Y, Wang X, Lu S, Huang J, Zhang L, Hu W*. The diagnostic accuracy of maternal serum alpha-fetoprotein variants (AFP-L2 and AFP-L3) in predicting fetal open neural tube defects and abdominal wall defects. Clin Chim Acta,2020;507:125-131.
5. Wen L, Zhang Y, Chen S, Wang J, Hu W*, Zhong G. Subdivision of IIIC Stage for Endometrioid Carcinoma to Better Predict Prognosis and Treatment Guidance. Front Oncol. 2020;10:1175.
6. Chen Y, Ning W, Wang H, Chen Y, Huang J, Wen L, Hu W*. Effectiveness of alpha-fetoprotein variants L2 and L3 as substitutes of alpha-fetoprotein in screening for fetal Trisomy 18. J Matern Fetal Neonatal Med. 2021；12:1-6. doi: 10.1080/14767058.2021.1922380.
7. LU Sha, WANG Hao, LIANG Danjun, HU Wensheng* (corresponding author). Effect of maternal cell contamination on chromosome microarray detection in prenatal diagnostic samples. Chinese Journal of Laboratory Medicine,2020,43(02): 153-159.