著者
TAKENORI INOMATA JAEMYOUNG SUNG MASAHIRO NAKAMURA MASAO IWAGAMI YUICHI OKUMURA KENTA FUJIO YASUTSUGU AKASAKI KEIICHI FUJIMOTO AI YANAGAWA AKIE MIDORIKAWA-INOMATA KEN NAGINO ATSUKO EGUCHI HURRRAMHON SHOKIROVA JUN ZHU MARIA MIURA MIZU KUWAHARA KUNIHIKO HIROSAWA TIANXING HUANG YUKI MOROOKA AKIRA MURAKAMI
出版者
The Juntendo Medical Society
雑誌
順天堂醫事雑誌 (ISSN:21879737)
巻号頁・発行日
vol.67, no.6, pp.519-529, 2021 (Released:2021-12-31)
参考文献数
67
被引用文献数
9

Society 5.0, a visionary human-centered societal model, fuels economic development and resolves long-standing social problems. The model establishes a technological foundation and social contract to integrate cyberspace into the physical (real) space fully. The medical infrastructure outlined by the model envisions a healthcare paradigm that revolves around preventative, lifelong patient- and population- centered care that functions seamlessly within one's daily life. In satisfying this goal, cross-hierarchical integrative data-driven biological research has received attention due to medical big data and artificial intelligence (AI) technologies, capable of highly accurate and rapid data analysis. However, the collection of big data has been a bottleneck, and the capability of AI analysis is not being utilized to its full potential. In solving this obstacle, we explore mobile health (mHealth) and multi-omics as two rich sources of medical big data. Additionally, we discuss the implications of cross-hierarchical integrative analysis that encompasses all levels of cellular function, from intracellular molecular dynamics to end-phenotypes. This is to understand ocular disease pathology and implement the pillars of P4 (predictive, personalized, preventative, participatory) medicine toward human-centered healthcare. Here, we discuss notable studies in utilizing mHealth to stratify subjective symptoms, presentations of dry eye disease, and employing multi-omics machine learning targeted at elucidating immunologic mechanisms of corneal allograft rejection and ocular inflammation. We also discuss the role of cross-hierarchical integrative data-driven research in promoting future-oriented healthcare envisioned by the Society 5.0 plan.