Takenori Inomata

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Associate Professor

Juntendo University Graduate School of Medicine

Japan

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About

Dr. Takenori Inomata is an Associate Professor at Juntendo University Faculty of Medicine in Japan. His research areas include allergy research, gastric cancer diagnostics, dry eye disease, and the application of artificial intelligence in medical diagnoses. He has contributed to the academic community through various recent publications focused on innovative approaches in patient care and the integration of technology in healthcare. His work emphasizes the importance of clinical experience and the impact of research team diversity on scientific output.

Recent Grants

Grant: Close

Grant-in-Aid for Young Scientists

Open Date: 2018-04-01

Close Date: 2020-03-01

Grant: Close

Tear Film & Ocular Surface Society TFOS Travel Awards 2016

Open Date: 2016-07-01

Close Date:

Grant: Close

Grant-in-Aid for Young Scientists (B)

Open Date: 2016-04-01

Close Date: 2017-03-01

Grant: Close

Travel Grant for Asia-ARVO2015 meeting

Open Date: 2015-02-01

Close Date: 2015-02-01

Grant: Close

Alumni Scholarship，Juntendo University School of Medicine

Open Date: 2014-10-01

Close Date:

Articles (22)

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JAPAN

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Ken Nagino

Assistant Professor

Juntendo University

JAPAN

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Masashi Nagao

Junior Associate Professor

Juntendo University

JAPAN

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Akira Murakami

Professor

Juntendo University

JAPAN

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Toshio Naito

Professor

Juntendo University

JAPAN

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Tamami Fukushi

Professor

JAPAN

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Kazuko Yamamoto

Assistant Professor

Nagasaki University Hospital

JAPAN

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Takenori Inomata

Research Interests

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About

Recent Grants

Articles (22)

Research team diversity impacts scientific output in allergy and immunology programs

AI‐Based Objective Severity Assessment of Atopic Dermatitis Using Patient Photos in a Real‐World Setting: A Digital Biomarker Approach

Safety Evaluation in Healthy Adults of Motion-Based Virtual Reality Dichoptic Training for Pediatric Patients With Amblyopia: Prospective Intervention Study

Exploring Patient and Public Involvement and Engagement in Allergy Research: Cross‐Disease and Cross‐Stakeholder Perspectives in Japan

A tumor microenvironment-based classification of gastric cancer for more effective diagnosis and treatment

Symptom-based stratification of heterogeneous symptoms of dry eye disease in patients with Sjögren’s syndrome

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Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases.

The importance of clinical experience in AI-assisted corneal diagnosis: verification using intentional AI misleading.

The impact of COVID‐19 on hay fever treatment in Japan: A retrospective cohort study based on the Japanese claims database

Human ocular thelaziasis with genetic analysis in Niigata Prefecture, Japan: A case report on an emerging zoonosis

Postoperative complications of intrascleral intraocular lens fixation: A systematic review and meta-analysis.

Symptom-based stratification algorithm for heterogeneous symptoms of dry eye disease: a feasibility study

Using the AllerSearch Smartphone App to Assess the Association Between Dry Eye and Hay Fever: mHealth-Based Cross-Sectional Study

Evaluation of a Medical Interview-Assistance System Using Artificial Intelligence for Resident Physicians Interviewing Simulated Patients: A Crossover, Randomized, Controlled Trial

Dyslipidemia Exacerbates Meibomian Gland Dysfunction: A Systematic Review and Meta-Analysis

Evaluation of adrenaline auto-injector prescription profiles: A population-based, retrospective cohort study within the National Insurance Claims Database of Japan

Biological effects of stored platelet-rich plasma eye-drops in corneal wound healing

Reliability and Validity of Electronic Patient-Reported Outcomes Using the Smartphone App AllerSearch for Hay Fever: Prospective Observational Study

Characteristics and Clinical Ocular Manifestations in Patients with Acute Corneal Graft Rejection after Receiving the COVID-19 Vaccine: A Systematic Review

Prevalence of Comorbidity between Dry Eye and Allergic Conjunctivitis: A Systematic Review and Meta-Analysis

DryEyeRhythm: A reliable and valid smartphone application for the diagnosis assistance of dry eye

Collaborators (11)

Takeya Adachi

Yuichi Okumura

Masakazu Hirota

Saeko Nakajima

Hideaki Morita

Ken Nagino

Masashi Nagao

Akira Murakami

Toshio Naito

Tamami Fukushi

Kazuko Yamamoto

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