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Alam MD.Ashraful  ALAM MD・ASHRAFUL

… Alternative Names

ALAM MD・ASHRAFUL  アロム モハマド・アッシュラフル

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Researcher Number 80866632
Other IDs
  • ORCIDhttps://orcid.org/0000-0002-7562-477X
Affiliation (Current) 2026: 国立研究開発法人国立長寿医療研究センター, 研究所 認知症先進医療開発センター, 研究員
Affiliation (based on the past Project Information) *help 2022 – 2024: 東京大学, 医学部附属病院, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 90130:Medical systems-related
Except Principal Investigator
Basic Section 58010:Medical management and medical sociology-related / Basic Section 08030:Family and consumer sciences, and culture and living-related
Keywords
Principal Investigator
Machine learning / Medical image / Medical imaging / CT / FDG/PET / Segmentation / ML algorithms / Abdominal organs / Predict abnormalities / image segmentation … More
Except Principal Investigator
… More hypertension / pharmacy / quality of life / blood pressure / Cluster RCT / Treatment adherence / Health promotion / India / Cost-effectiveness / Community pharmacy / Hypertension control / Quality of life Pharmacy / Pakistan / Bangladesh / Pharmacy / Quality of life / Blood pressure / 気象 / 極値分布 / 気象データ / 同時生起確率分布 / MCMC / 極値 / 将来気象データ / 地域分析 / 気象要素 / 居住環境 / 熱負荷設計データ / 同時生起確率 / 相互依存性 / 再現期間 / 降水量 / 極値統計 Less
  • Research Projects

    (3 results)
  • Research Products

    (5 results)
  • Co-Researchers

    (5 People)
  •  A cluster randomized controlled trial to evaluate pharmacy-based health promotion program to improve blood pressure control in Bangladesh, India and Pakistan

    • Principal Investigator
      RAHMAN Mizanur
    • Project Period (FY)
      2024
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 58010:Medical management and medical sociology-related
    • Research Institution
      Hitotsubashi University
  •  Predicting abnormalities in abdominal organs through prognostic factors extracted from image dataPrincipal Investigator

    • Principal Investigator
      ALAM MD・ASHRAFUL
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 90130:Medical systems-related
    • Research Institution
      The University of Tokyo
  •  Assesment of Extreme value statistical characteristics of weather affecting the residential environment

    • Principal Investigator
      EMURA Kazuo
    • Project Period (FY)
      2022 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 08030:Family and consumer sciences, and culture and living-related
    • Research Institution
      Osaka Metropolitan University

All 2025 2024

All Journal Article Presentation

  • [Journal Article] Socio-demographic disparities in health-related quality of life in hypertensive patients in Bangladesh: a comprehensive survey analysis2025

    • Author(s)
      Rahman Md. Mizanur、Sorkar Md. Nesar Uddin、Nakamura Ryota、Islam Md. Monirul、Alam Md. Ashraful、Azmat Syed Khurram、Sato Motohiro
    • Journal Title

      Quality of Life Research

      Volume: - Issue: 5 Pages: 1-13

    • DOI

      10.1007/s11136-025-03912-3

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00049, KAKENHI-PROJECT-23K24566
  • [Journal Article] Effectiveness of a Community Pharmacy-Based Health Promotion Program on Hypertension in Bangladesh and Pakistan: Study Protocol for a Cluster-Randomized Controlled Trial2024

    • Author(s)
      Rahman Md. Mizanur、Nakamura Ryota、Islam Md. Monirul、Alam Md. Ashraful、Azmat Syed Khurram、Sato Motohiro
    • Journal Title

      Healthcare

      Volume: 12 Issue: 14 Pages: 1402-1402

    • DOI

      10.3390/healthcare12141402

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23H00049, KAKENHI-PROJECT-23K24566
  • [Journal Article] Prediction of extreme rainfall events in 21st century - The results based on Bayesian Markov Chain Monte Carlo2024

    • Author(s)
      Jiao Zhichao、Alam Md Ashraful、Yuan Jihui、Farnham Craig、Emura Kazuo
    • Journal Title

      Urban Climate

      Volume: 53 Pages: 101822-101822

    • DOI

      10.1016/j.uclim.2024.101822

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23KJ1840, KAKENHI-PROJECT-22K02098
  • [Presentation] Integration of PET-derived metrics and machine learning algorithms for predicting liver abnormalities2025

    • Author(s)
      Alam MD Ashraful
    • Organizer
      International Forum on Medical Imaging in Asia(IFMIA)2025
    • Data Source
      KAKENHI-PROJECT-24K21121
  • [Presentation] Machine Learning-Driven Prediction of Pancreatic Abnormalities using Image-Derived Data Combined with Amylase and HbA1c Biomarkers2025

    • Author(s)
      Alam MD Ashraful
    • Organizer
      Computer Assisted Radiology and Surgery (CARS) 2025
    • Data Source
      KAKENHI-PROJECT-24K21121
  • 1.  EMURA Kazuo (60138972)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  RAHMAN Mizanur (10726433)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 3.  袁 継輝 (10781437)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  中村 良太 (00717209)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 5.  佐藤 主光 (50313458)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results

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