Otolaryngology: Big Data Application in Personalized Medicine
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Omics/Informatics".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 37
Special Issue Editors
Interests: epidemiology; big data analysis; otolaryngology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of big data into precision medicine is reshaping the landscape of otolaryngology by facilitating more individualized, predictive, and efficacious approaches to patient care. Historically, clinical decision making in otolaryngology has been primarily guided by generalized treatment protocols. The advent of large-scale data analytics, however, has enabled a shift toward personalized care models informed by genomic, environmental, and behavioral data, enhancing the ability to anticipate disease risk, monitor progression, and tailor therapeutic interventions.
This Special Issue seeks to critically explore the application of big data methodologies across the spectrum of otolaryngologic disorders, encompassing risk stratification, disease pathogenesis, diagnostic accuracy, clinical management, and treatment outcomes. By addressing current limitations and highlighting emerging opportunities, the collection aims to stimulate interdisciplinary collaboration and identify strategic priorities for future research.
We welcome high-quality and data-driven studies that advance the application of big data in otolaryngology and contribute to the evolution of precision medicine within the field.
Prof. Dr. Herng-Ching Lin
Dr. Yen-Fu Cheng
Guest Editors
Manuscript Submission Information
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Keywords
- otolaryngology
- big data
- epidemiology
- precision medicine
- personalized medicine
- head and neck cancer
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