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Sunwha Park

Showing results (11-20 of 31) with videos related to

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Obstetrics & Gynecology Science|June 20, 2020
Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic womenSunwha Park, Young-Ah You, Hayoung Yun, et al.
International Journal of Molecular Sciences|March 28, 2024
Identification of Short-Chain Fatty Acids for Predicting Preterm Birth in Cervicovaginal Fluid Using Mass SpectrometryYoung-Min Hur, Eun-Jin Kwon, Young-Ah You, et al.
BMC Pregnancy and Childbirth|April 29, 2025
Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomesYoon-Young Go, Young Min Hur, Young-Ah You, et al.
Molecular Nutrition & Food Research|July 3, 2025
Altered Abundance of Butyrate-Producing Lachnospiraceae by Maternal Diet During Pregnancy Potentially Influences MASLD-Related Lipid Dysregulation in Male Rat OffspringSoo-Min Kim, Sunwha Park, AbuZar Ansari, et al.
Frontiers in Microbiology|August 19, 2022
Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning modelSunwha Park, Jeongsup Moon, Nayeon Kang, et al.
Scientific Reports|April 3, 2025
Poly-sialylated glycan of cervicovaginal fluid can be a potential marker of preterm birthYoon-Young Go, Gun Wook Park, Young Min Hur, et al.
Scientific Reports|December 24, 2022
Transition in vaginal Lactobacillus species during pregnancy and prediction of preterm birth in Korean womenYoung-Ah You, Sunwha Park, Kwangmin Kim, et al.
International Journal of Molecular Sciences|October 26, 2024
Maternal Diet during Pregnancy Alters the Metabolites in Relation to Metabolic and Neurodegenerative Diseases in Young Adult OffspringSoo-Min Kim, Songjin Oh, Sang Suk Lee, et al.
American Journal of Reproductive Immunology (New York, N.Y. : 1989)|April 27, 2021
Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluidSunwha Park, Daejoong Oh, Hanna Heo, et al.
Metabolites|August 6, 2021
Identification of Indicators for Preterm Birth Using Retinoid MetabolitesYoung-Ah You, Soo-Yeon Hwang, Soo-Min Kim, et al.
Pageof 4

Showing results (11-20 of 31) with videos related to

Sort By:
Pageof 4
Obstetrics & Gynecology Science|June 20, 2020
Cervicovaginal fluid cytokines as predictive markers of preterm birth in symptomatic womenSunwha Park, Young-Ah You, Hayoung Yun, et al.
International Journal of Molecular Sciences|March 28, 2024
Identification of Short-Chain Fatty Acids for Predicting Preterm Birth in Cervicovaginal Fluid Using Mass SpectrometryYoung-Min Hur, Eun-Jin Kwon, Young-Ah You, et al.
BMC Pregnancy and Childbirth|April 29, 2025
Association of maternal multi-metal exposure and dyslipidemia: a study of air pollution on pregnancy outcomesYoon-Young Go, Young Min Hur, Young-Ah You, et al.
Molecular Nutrition & Food Research|July 3, 2025
Altered Abundance of Butyrate-Producing Lachnospiraceae by Maternal Diet During Pregnancy Potentially Influences MASLD-Related Lipid Dysregulation in Male Rat OffspringSoo-Min Kim, Sunwha Park, AbuZar Ansari, et al.
Frontiers in Microbiology|August 19, 2022
Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning modelSunwha Park, Jeongsup Moon, Nayeon Kang, et al.
Scientific Reports|April 3, 2025
Poly-sialylated glycan of cervicovaginal fluid can be a potential marker of preterm birthYoon-Young Go, Gun Wook Park, Young Min Hur, et al.
Scientific Reports|December 24, 2022
Transition in vaginal Lactobacillus species during pregnancy and prediction of preterm birth in Korean womenYoung-Ah You, Sunwha Park, Kwangmin Kim, et al.
International Journal of Molecular Sciences|October 26, 2024
Maternal Diet during Pregnancy Alters the Metabolites in Relation to Metabolic and Neurodegenerative Diseases in Young Adult OffspringSoo-Min Kim, Songjin Oh, Sang Suk Lee, et al.
American Journal of Reproductive Immunology (New York, N.Y. : 1989)|April 27, 2021
Prediction of preterm birth based on machine learning using bacterial risk score in cervicovaginal fluidSunwha Park, Daejoong Oh, Hanna Heo, et al.
Metabolites|August 6, 2021
Identification of Indicators for Preterm Birth Using Retinoid MetabolitesYoung-Ah You, Soo-Yeon Hwang, Soo-Min Kim, et al.
Pageof 4