Rchr
J-GLOBAL ID：202001014165458580
Update date: Dec. 19, 2022
Urushiyama Daichi
ウルシヤマ ダイチ | Urushiyama Daichi
Affiliation and department：
Papers (24)：
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漆山大知, 秦健一郎, 宮本新吾. 羊水検査で何がわかる?. PERINATAL CARE. 2021. 40. 10. 29-33
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Urushiyama D, Ohnishi E, Suda W, Kurakazu M, Kiyoshima C, Hirakawa T, Miyata K, Yotsumoto F, Nabeshima K, Setoue T, et al. Vaginal microbiome as a tool for prediction of chorioamnionitis in preterm labor: a pilot study. Scientific Reports. 2021. 11. 1. 18971-18971
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Yoshikawa K, Kiyoshima C, Hirakawa T, Urushiyama D, Fukagawa S, Izuchi D, Sanui A, Kurakazu M, Miyata K, Nomiyama M, et al. Diagnostic predictability of miR-4535 and miR-1915-5p expression in amniotic fluid for foetal morbidity of infection. Placenta. 2021. 114. 68-75
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Ichiyama T, Kuroda K, Nagai Y, Urushiyama D, Ono M, Yamaguchi T, Nagayoshi M, Sakuraba Y, Yamasaki F, Hata K, et al. Analysis of vaginal and endometrial microbiota communities in infertile women with a history of repeated implantation failure. Reprod Med Biol. 2021. 20. 334-344
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漆山大知, 秦健一郎, 宮本新吾. メタゲノム解析・メタ16S解析. 遺伝子医学. 2021. 11. 2. 115-122
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Lectures and oral presentations (9)：
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Predictive diagnosis of chorioamnionitis by quantification of specific vaginal bacteria using droplet digital PCR
(第73回日本産科婦人科学会学術講演会 2021)
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Perinatal outcomes in patients with preterm labor diagnosed as a high-risk of chorioamnionitis by vaginal microbiome analysis.
(第72回日本産科婦人科学会学術講演会 2020)
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腟内細菌叢解析による絨毛膜羊膜炎の予測
(第71回日本産科婦人科学会学術講演会 2019)
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羊水のマイクロバイオームプロファイルによる絨毛膜羊膜炎の診断予測
(第70回日本産科婦人科学会学術講演会 2018)
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Prediction of chorioamnionitis using next-generation sequencing in amniotic fluid samples.
(2018 Annual Clinical and Scientific Meeting 2018)
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Professional career (2)：
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