Hirohito Sone

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Japan

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About

Hirohito Sone is a Professor at Niigata University Faculty of Medicine in Japan. His research focuses on type 2 diabetes, including the continuous learning challenges in medical datasets, diagnostic strategies during the COVID-19 pandemic, and treatment effects on glycemic control. He has contributed to various studies exploring the relationship between diabetes, metabolic health, and machine learning applications in medical decision-making.

Recent Grants

Grant: Close

レセプトデータベースにおける健康寿命を規定する重症イベント精密捕捉技術の確立・正確性検証とその社会実装を通じたEBMと政策立案に貢献できるエビデンス創出

Open Date: 2019-04-01

Close Date: 2020-03-31

Grant: Close

本邦CLLの病態解明に基づく簡便な新規診断法の確立

Open Date: 2019-04-01

Close Date: 2022-03-31

Grant: Close

Health life extension and QOL improvement through integrated analysis of health and medical big data

Open Date: 2019-04-01

Close Date: 2022-03-31

Grant: Close

体力測定結果を含む人間ドックデータと骨密度の横断的並びに縦断的関連の検討

Open Date: 2017-04-01

Close Date: 2020-03-31

Grant: Close

CLL Challenges elucidation of the establishment and the molecular pathogenesis of reliable differential diagnosis method from Japan is a rare region ~

Open Date: 2016-04-01

Close Date: 2019-03-31

Articles (17)

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Collaborators (2)

Hitoshi Shimano

Professor

University of Tsukuba

JAPAN

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Masaru Kitazawa

Niigata University

JAPAN

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Hirohito Sone

Research Interests

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About

Recent Grants

Articles (17)

Combating the Problems of the Necessity of Continuous Learning in Medical Datasets of Type 2 Diabetes

Analysis of the Japanese gestational diabetes mellitus diagnostic strategy during the coronavirus disease 2019 pandemic using DREAMBee study data

Association of bodyweight loss with changes in lipids, blood pressure, and fasting serum glucose following tirzepatide treatment in Japanese participants with type 2 diabetes: A post hoc analysis of the SURPASS J‐mono trial

Japan Diabetes Complications Study: Revisiting one of the first large‐scale clinical studies in East Asians with diabetes

Achieving normoglycaemia with tirzepatide: Post hoc exploratory analysis of the SURPASS J‐mono and J‐combo studies

Machine learning algorithms mimicking specialists decision making on initial treatment for people with type 2 diabetes mellitus in Japan diabetes data management study (JDDM76)

Association of the estimated glomerular filtration rate (eGFR) and/or proteinuria to predict the risk of initiation of dialysis in people with and without diabetes

Citrate synthase insufficiency leads to specific metabolic adaptations in the heart and skeletal muscles upon low-carbohydrate diet feeding in mice(vol 9, 925908, 2022)

Combined effects of blood pressure and glycemic status on risk of heart failure: a population-based study

Hypoglycemic Hemiplegia Associated with Reversible Narrowing of the Contralateral Middle Cerebral Artery in a Patient with Adrenal Insufficiency

Incidence and predictors of remission and relapse of type 2 diabetes mellitus in Japan: Analysis of a nationwide patient registry

Machine Learning Approach to Drug Treatment Strategy for Diabetes Care

Machine learning approach to predict body weight in adults

Network meta-analysis of glucose-lowering drug treatment regimens with the potential risk of hypoglycemia in patients with type 2 diabetes mellitus in terms of glycemic control and severe hypoglycemia

Recent updates in factors associated with incidence and screening of diabetic eye disease

Reduced incidence of cardiovascular disease in patients with type 2 diabetes through the integrated improvement of diabetes care by comparing two prospective observational cohorts in real-world clinical practice (JDDM 72)

Enfortumab Vedotin-induced Hyperglycemia and Ileal Conduit Reconstruction-induced Metabolic Acidosis

Collaborators (2)

Hitoshi Shimano

Masaru Kitazawa

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