Yuelong JI

1.Early life origin of developmental and mental health

2.Machine learning application on real-word clinical data analysis.

1. 2001-2021，Preterm birth, maternal and cord blood metabolome, and child metabolic risk (R01HD041702), Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) at the National Institutes of Health (NIH), participated as Ph.D. student

2. 2014-2022，MCH Autism Longitudinal Data Project （R40MC27443；UJ2MC31074），Maternal and Child Health Bureau at the Health Resources and Services Administration (HRSA) , participated as Ph.D. student

3. 2018-2019，Harness Big Data and Machine Learning to Develop Tools for Autism Risk Prediction and Intervention，Johns Hopkins Discovery Awards, participated as postdoctoral fellow

1. R. E. Azuine, Y. Ji, H.-Y. Chang, Y. Kim, H. Ji, J. DiBari, X. Hong, G. Wang, G. K. Singh, C. Pearson, B. Zuckerman, P. J. Surkan and X. Wang; Prenatal Risk Factors and Perinatal and Postnatal Outcomes Associated With Maternal Opioid Exposure in an Urban, Low-Income, Multiethnic US Population; JAMA Network Open; 2019, 2 (6): e196405

2. Y. Ji, R. E. Azuine, Y. Zhang, W. Hou, X. Hong, G. Wang, A. Riley, C. Pearson, B. Zuckerman and X. Wang; Association of Cord Plasma Biomarkers of In Utero Acetaminophen Exposure With Risk of Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder in Childhood; JAMA Psychiatry; 2020, 77 (2): 180

3. X. Liu, Z. Yuan and Y. Ji; The association between electronic cigarettes, sleep duration, and the adverse cardiovascular outcomes: Findings from behavioral risk factor surveillance system, 2020; Frontiers in Cardiovascular Medicine; 2022, 9: 909383

4. H. Wang, H.-J. Wang, M. Jiao, N. Han, J. Xu, H. Bao, Z. Liu and Y. Ji; Associations between Dynamic Vitamin D Level and Thyroid Function during Pregnancy; Nutrients; 2022, 14 (18): 3780

5. S. Yan, J. Lyu, Z. Liu, S. Zhou, Y. Ji and H. Wang; Association of gestational hypertension and preeclampsia with offspring adiposity: A systematic review and meta-analysis; Frontiers in Endocrinology; 2022, 13: 906781

6. Z. Yuan, Q. Li, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han, Y. Guo, Y. Ji and H.-J. Wang; Effects of fine ambient particulate matters on de novo hypertensive disorders of pregnancy and blood pressure before 20 weeks; Environmental Research; 2023, 218: 115023

7. Z. Yuan, H.-J. Wang, Q. Li, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han, Y. Guo and Y. Ji; Risk of De Novo Hypertensive Disorders of Pregnancy After Exposure to PM1 and PM2.5 During the Period From Preconception to Delivery: Birth Cohort Study; JMIR Public Health and Surveillance; 2023, 9: e41442

8. Z. Yuan, H.-J. Wang, T. Su, J. Yang, J. Chen, Y. Peng, S. Zhou, H. Bao, S. Luo, H. Wang, J. Liu, N. Han and Y. Ji; The First-Trimester Gestational Weight Gain Associated With de novo Hypertensive Disorders During Pregnancy: Mediated by Mean Arterial Pressure; Frontiers in Nutrition; 2022, 9: 862323

9. Y. Shen, Y. Wang, Z. Fu, T. Zhou, Z. Yuan, J. Gao and Y. Ji; Ambient PM2.5, household environment and preterm birth: A birth cohort study in Shandong, China; Atmospheric Environment; 2024, 332: 120612

10. N. N. Liu, J. L. Lyu, H. J. Wang, Y. Sun, S. H. Zhang, H. Lin, Y. X. Wang, X. J. Yang, S. Ma, N. Han, Y. Mi, D. Zheng, Z. F. Yang, H. P. Zhang, Y. Jiang, Y. L. Ji and L. K. Ma; Weekly Weight Gain in Women with Gestational Diabetes Mellitus and Neonatal Birth Weight - China, 2011-2021; China CDC Weekly; 2023, 5 (32): 703-709