Inomata Challenging Labでは2016年にドライアイ研究用アプリ「ドライアイリズム」を開発し、デジタルコホート研究を継続しています。
これまでに、
1.ドライアイ重症化因子の解明 (Ophthalmology, IF: 13.1)
Inomata T, Nakamura M, Iwagami M, Shiang T, Yoshimura Y, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Hori S, Hiratsuka Y, Uchino M, Tsubota K, Dana R, Murakami A. Risk Factors for Severe Dry Eye Disease: Crowdsourced Research Using DryEyeRhythm. Ophthalmology. 2019,126,766-768.
2.ドライアイ未診断者の特徴の解明 (JAMA Ophthalmology, IF: 7.8)
Inomata T, Iwagami M, Nakamura M, Shiang T, Yoshimura Y, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Hori S, Hiratsuka Y, Uchino M, Tsubota K, Dana R, Murakami A. Characteristics and Risk Factors Associated With Diagnosed and Undiagnosed Symptomatic Dry Eye Using a Smartphone Application. JAMA Ophthalmol. 2020,138,58-68.
3.ドライアイの抑うつ症状の関連 (Ocular Surface, IF: 5.9)
Inomata T, Iwagami M, Nakamura M, Shiang T, Fujimoto K, Okumura Y, Iwata N, Fujio K, Hiratsuka Y, Hori S, Tsubota K, Dana R, Murakami A. Association between dry eye and depressive symptoms: Large-scale crowdsourced research using the DryEyeRhythm iPhone application. Ocul Surf. 2020,18,312-319.
4.コンタクトレンズ関連ドライアイの特徴の解明 (Journal of Medical Internet Research, IF: 5.8)
Inomata T, Nakamura M, Iwagami M, Midorikawa-Inomata A, Sung J, Fujimoto K, Okumura Y, Eguchi A, Iwata N, Miura M, Fujio K, Nagino K, Hori S, Tsubota K, Dana R, Murakami A. Stratification of Individual Symptoms of Contact Lens-Associated Dry Eye Using the iPhone App DryEyeRhythm: Crowdsourced Cross-Sectional Study. Journal of Medical Internet Research. 2020,22,e18996.
5.ドライアイ患者の点眼薬使用の不均一性の解明 (Japanese Journal of Ophthalmology, IF: 2.1)
Eguchi A, Inomata T, Nakamura M, Nagino K, Iwagami M, Sung J, Midorikawa-Inomata A, Okumura Y, Fujio K, Fujimoto K, Miura M, Akasaki Y, Shokirova H, Hirosawa K, Kuwahara M, Zhu J, Dana R, Murakami A, Kobayashi H. Heterogeneity of eye drop use among symptomatic dry eye individuals in Japan: large-scale crowdsourced research using DryEyeRhythm application. Japanese Journal of Ophthalmology.
6. P4医療の実現に向けたスマートフォンを利用したドライアイのデジタルフェノタイピング (NPJ Digital Medicine, IF: 12.4)
Inomata T, Nakamura M, Sung J, Midorikawa-Inomata A, Iwagami M, Fujio K, Akasaki Y, Okumura Y, Fujimoto K, Eguchi A, Miura M, Nagino K, Shokirova H, Zhu J, Kuwahara M, Hirosawa K, Dana R, Murakami A. Smartphone-based digital phenotyping for dry eye toward P4 medicine: a crowdsourced cross-sectional study. NPJ Digit Med. 2021,4,171.
7. ドライアイ研究用アプリ「ドライアイリズム」のドライアイ診断補助に向けた信頼性と妥当性の解明(Ocular Surface, IF: 5.9)
Okumura Y, Inomata T, Midorikawa-Inomata A, Sung J, Fujio K, Akasaki Y, Nakamura M, Iwagami M, Fujimoto K, Eguchi A, Miura M, Nagino K, Hirosawa K, Huang T, Kuwahara M, Dana R, Murakami A. DryEyeRhythm: A reliable and valid smartphone application for the diagnosis assistance of dry eye. Ocul Surf. 2022,25,19-25.
8. ドライアイの不均一性の解明: デジタルコホート研究 (Juntendo Medical Journal, IF: 0)
Inomata T, Sung J, Yee A, Murakami A, Okumura Y, Nagino K, Fujio K, Akasaki Y, Midorikawa-Inomata A, Eguchi A, Fujimoto K, Huang T, Morooka Y, Miura M, Shokirova H, Hirosawa K, Ohno M, Kobayashi H. P4 Medicine for Heterogeneity of Dry Eye: A Mobile Health-based Digital Cohort Study. Juntendo Iji Zasshi. 2023,69,2-13.
9. ドライアイ診断補助用スマホアプリのドライアイ診断能に係る前方視的多施設共同横断観察研究: プロトコル (JMIR Research Protocols, IF: 1.4)
Nagino K, Okumura Y, Yamaguchi M, Sung J, Nagao M, Fujio K, Akasaki Y, Huang T, Hirosawa K, Iwagami M, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Okajima Y, Kakisu K, Tei Y, Yamaguchi T, Tomida D, Fukui M, Yagi-Yaguchi Y, Hori Y, Shimazaki J, Nojiri S, Morooka Y, Yee A, Miura M, Ohno M, Inomata T. Diagnostic Ability of a Smartphone App for Dry Eye Disease: Protocol for a Multicenter, Open-Label, Prospective, and Cross-sectional Study. JMIR Res Protoc. 2023,12,e45218.
10. アプリによるドライアイ疾患特異的質問紙票の同等性比較試験 (Journal of Medical Internet Research, IF: 5.8)
Nagino K, Okumura Y, Akasaki Y, Fujio K, Huang T, Sung J, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Hurramhon S, Yee A, Miura M, Ohno M, Hirosawa K, Morooka Y, Murakami A, Kobayashi H, Inomata T. Smartphone App-Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study. Journal of Medical Internet Research. 2023,25,e42638.
11. スマホアプリによる最大開瞼時間のドライアイ診断補助における臨床的有用性 (Scientific Reports, IF: 3.8)
Fujio K, Nagino K, Huang T, Sung J, Akasaki Y, Okumura Y, Midorikawa-Inomata A, Fujimoto K, Eguchi A, Miura M, Hurramhon S, Yee A, Hirosawa K, Ohno M, Morooka Y, Murakami A, Kobayashi H, Inomata T. Clinical utility of maximum blink interval measured by smartphone application DryEyeRhythm to support dry eye disease diagnosis. Scientific Reports. 2023,13,13583.
などを出版しました。
これらのデータセットを使用したビッグデータ解析などに興味がある人はぜひ一緒に研究しましょう。