MIURA Hiroshi

写真a

Affiliation

Hospital  Deliverry Center 

Research Interests 【 display / non-display

  • 産婦人科学

Graduating School 【 display / non-display

  •  
    -
    2003.03

    Akita University   Faculty of Medicine   Graduated

Graduate School 【 display / non-display

  •  
    -
    2009.03

    Akita University  Graduate School,Division of Medicine  Doctor's Course  Completed

Campus Career 【 display / non-display

  • 2024.04
    -
    Now

    Akita University   Hospital   Deliverry Center   Associate Professor  

  • 2021.07
    -
    2024.03

    Akita University   Hospital   Obstetrics and Gynecology   Lecturer  

  • 2013.01
    -
    2021.06

    Akita University   Hospital   Obstetrics and Gynecology   Assistant Professor  

Research Areas 【 display / non-display

  • Life Science / Obstetrics and gynecology  / 産婦人科

Qualification acquired 【 display / non-display

  • Doctor

 

Research Achievements 【 display / non-display

    ◆Original paper【 display / non-display

  • A case of coronavirus disease 2019 in a pregnant woman successfully treated with shoseiryuto: A telephone consultation

    Hidenori Tanaka, Hiroshi Miura, Yukihiro Terada, Hajime Nakae

    Traditional & Kampo Medicine     2022.10  [Refereed]

    Research paper (journal)   Domestic Co-author

  • Development of a Wearable Hardness Sensor for Internal Examination without Impairing the Physician's Sense of Touch

    ASANO Masaki, MIURA Hiroshi, TERADA Yukihiro, TANAKA Yoshihiro

    The Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP ( The Japan Society of Mechanical Engineers )  2022 ( 0 ) IIP1R1-F07   2022.03

    Research paper (journal)  

    DOI CiNii Research

  • The location of "8"-shaped hatching influences inner cell mass formation in mouse blastocysts.

    Onodera Y,Takahashi K,Goto M,Anzai M,Ono N,Shirasawa H,Sato W,Miura H,Sato N,Sato A,Kumazawa Y,Terada Y

    PloS one   12 ( 4 ) e0175150 - e0175150   2017.04  [Refereed]

    Research paper (journal)   Domestic Co-author

  • Neutrophil elastase in amniotic fluid as a predictor of preterm birth after emergent cervical cerclage.

    Hatakeyama Y,Miura H,Sato A,Onodera Y,Sato N,Shimizu D,Kumazawa Y,Sanada H,Hirano H,Terada Y

    Acta obstetricia et gynecologica Scandinavica     2016.10  [Refereed]

    Research paper (journal)   Domestic Co-author

  • ◆Other【 display / non-display

  • Theoretical Analysis for Optimal Design of Wearable Softness Sensors for Internal Examination

    Kaori YAMADA (NITech, Masaki ASANO (NITech, Hiroshi MIURA, Akita Uni, Yukihiro TERADA, Akita, U, Yoshihiro TANAKA (NITech

        2024.12

  • Umbilical venous flow volume in fetal pleural effusion cases

    Onodera Yohei, Fujishima Akiko, Miura Hiroshi, Terada Yukihiro

      75巻臨増 ( S-211 )   2023.02

  • Anti-glutamic Acid Decarboxylase Antibody-Positive Gestational Diabetes Mellitus with Autoimmune Type 1 Diabetes Mellitus in the Early Postpartum Period: A Case Report and Literature Review

    Fujishima Akiko, Onodera Yohei, Miura Hiroshi, Terada Yukihiro

    The Tohoku Journal of Experimental Medicine ( 東北ジャーナル刊行会 )  advpub ( 0 ) 327 - 333   2023

    Gestational diabetes mellitus (GDM) is a state of pre-diabetic impaired glucose tolerance initially occurring during pregnancy. Although abnormalities in glucose metabolism normally resolve rapidly after delivery, women with GDM have a higher lifetime risk of developing diabetes mellitus than those without GDM; thus, postpartum healthcare is essential. Of all GDM patients, 5%-10% test positive for diabetes-related autoantibodies, which increase the risk of developing type 1 diabetes mellitus (T1DM). Autoantibody measurement in GDM screening remains debatable; however, it may be useful for the postnatal follow-up of GDM patients at high risk of developing T1DM. We treated a 29-year-old woman who was GDM positive for anti-glutamic acid decarboxylase antibody (GADA) requiring high-dose insulin therapy during pregnancy. As the patient tested positive for GADA, she received judicious postpartum management, allowing for early diagnosis of T1DM and resumption of treatment. Her insulin secretory capacity was preserved at 1 year after parturition, suggesting either slowly progressive insulin-dependent T1DM or latent autoimmune diabetes in adults. This was a rare case of slowly progressive insulin-dependent T1DM or latent autoimmune diabetes in adults in the early postpartum period, but the fact that GADA was positive during pregnancy enabled early treatment without overlooking it. Measuring diabetes-related autoantibodies in patients considered to be at a high risk for T1DM, such as those who are of slim build, young, or suffering from autoimmune thyroid disorders, may be important for appropriate individualized follow-up.

    DOI PubMed CiNii Research

  • DIAMETER OF HUMAN DAY 6 BLASTOCYSTS REFLECTS THE GENETIC HOMOGENEITY OF TROPHECTODERM COMPONENTS

    HASEGAWA Hisataka, HASEGAWA Hisataka, TAKAHASHI Kazumasa, KOBAYASHI Tatsuya, KOBAYASHI Tatsuya, KOBAYASHI Tatsuya, IWASAWA Takuya, FUJISHIMA Akiko, TOGASHI Kazue, MAKINO Kenichi, SHIRASAWA Hiromitsu, MIURA Hiroshi, SATO Wataru, KUMAZAWA Yukiyo, KOBAYASHI Junichi, TERADA Yukihiro

    秋田医学   50 ( 2 )   2023

    J-GLOBAL

  • Hardness estimation based on human sensorimotor control with a flexible wearable tactile sensor

    Saranchimeg BADRAKH, TAKAYAMA Yuta, TANAKA Yoshihiro, MIURA Hiroshi, TERADA Yukihiro

    The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers )  2021 ( 0 ) 1P3-C12   2021

    Research paper (other academic council materials etc.)  

    <p>In this paper, we used a flexible wearable tactile sensor that utilizes acoustic reflection, and investigated hardness estimation based on the sensor output using human spontaneous haptic exploratory motion. Machine learning methods with support vector machine and convolutional neural networks were adopted to the acquired sensor output for the identification of hardness of cervical models. As a result, the correct answer rates of both learning models were 100 % for the soft model and about 80 % for the hard and medium models.</p>

    DOI CiNii Research

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Grant-in-Aid for Scientific Research 【 display / non-display

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2021.04  -  2024.03 

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2021.04  -  2024.03 

  • Grant-in-Aid for Scientific Research(B)

    Project Year: 2021.04  -  2024.03 

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2019.04  -  Now 

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2019.04  -  2023.03 

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