New medical big data for P4 medicine on allergic conjunctivitis

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  • Inomata Takenori
    Department of Ophthalmology, Juntendo University Faculty of Medicine Department of Strategic Operating Room Management and Improvement, Juntendo University Faculty of Medicine Department of Hospital Administration, Juntendo University Graduate School of Medicine Department of Digital Medicine, Juntendo University Graduate School of Medicine
  • Sung Jaemyoung
    Department of Ophthalmology, Juntendo University Faculty of Medicine Morsani College of Medicine, University of South Florida
  • Nakamura Masahiro
    Department of Digital Medicine, Juntendo University Graduate School of Medicine Precision Health, Department of Bioengineering, Graduate School of Engineering, University of Tokyo
  • Fujisawa Kumiko
    Department of Public Policy, Human Genome Center, The Institute of Medical Science, University of Tokyo
  • Muto Kaori
    Department of Public Policy, Human Genome Center, The Institute of Medical Science, University of Tokyo
  • Ebihara Nobuyuki
    Department of Ophthalmology, Urayasu Hospital, Juntendo University
  • Iwagami Masao
    Department of Health Services Research, Faculty of Medicine, University of Tsukuba
  • Fujio Kenta
    Department of Digital Medicine, Juntendo University Graduate School of Medicine Department of Ophthalmology, Juntendo University Graduate School of Medicine
  • Okumura Yuichi
    Department of Digital Medicine, Juntendo University Graduate School of Medicine Department of Ophthalmology, Juntendo University Graduate School of Medicine
  • Okano Mitsuhiro
    Department of Otorhinolaryngology, International University of Health and Welfare
  • Murakami Akira
    Department of Ophthalmology, Juntendo University Faculty of Medicine Department of Digital Medicine, Juntendo University Graduate School of Medicine

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<p>Allergic conjunctivitis affects approximately 15-20% of the global population and can permanently deteriorate one's quality of life (QoL) and work productivity, leading to societal work force costs. Although not fully understood, allergic conjunctivitis is a multifactorial disease with a complex network of environmental, lifestyle, and host contributory risk factors. To effectively enhance the quality of treatment for patients with allergic conjunctivitis, as well as other allergic diseases, the field must first comprehend the pathology underlying various individualized subjective symptoms and stratify the disease according to risk factors and presentations. Such competent stratification and societal reconstruction that targets the alleviation of the damage due to allergic diseases would greatly help ramify personalized treatments and prevent the projected increase in societal costs imposed by allergic diseases.</p><p>Owing to the rapid advancements in the information and technology sector, medical big data are greatly accessible and useful to decipher the pathophysiology of many diseases. Such data collected through multi-omics and mobile health have been effective for research on chronic diseases including allergic and immune-mediated diseases. Novel big data containing vast and continuous information on individuals with allergic conjunctivitis and other allergic symptoms are being used to search for causative genes of diseases, gain insights into new biomarkers, prevent disease progression, and, ultimately, improve QoL. The individualized and holistic data accrued from new angles using technological innovations are helping the field realize the principles of P4 medicine: predictive, preventive, personalized, and participatory medicine.</p>

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