Salivary analysis : an emerging paradigm for non‐invasive healthcare diagnosis and monitoring

Liao, Caizhi and Chen, Xiaofeng and Fu, Ying (2023) Salivary analysis : an emerging paradigm for non‐invasive healthcare diagnosis and monitoring. Interdisciplinary Medicine, 1 (3). e20230009. ISSN 2832-6245 (https://doi.org/10.1002/inmd.20230009)

[thumbnail of Liao-etal-IM-2023-Salivary-analysis-an-emerging-paradigm-for-non‐invasive-healthcare-diagnosis]
Preview
Text. Filename: Liao_etal_IM_2023_Salivary_analysis_an_emerging_paradigm_for_non_invasive_healthcare_diagnosis.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (2MB)| Preview

Abstract

As an emerging non‐invasive and easy‐to‐use toolkit, salivary analysis has garnered significant attention recently. By leveraging the latest discoveries in salivary biomarkers, salivary analysis has the potential to revolutionize the field of healthcare by providing valuable information for monitoring an individual's health status, diagnosing disease progression, and enabling personalized treatment. However, the transitional development of breakthrough salivary analysis remains an intriguing challenge. Only a few innovations have progressed to new transformative healthcare diagnosis and monitoring tools. In this review, we attempt to illustrate a bird's eye view of the emerging field of salivary analysis by exploring an assorted selection of seminar progress that can potentially shape the developing trajectory of the field of salivary analysis. The fundamental nature of saliva and the versatile robust uses of salivary analysis as a novel non‐invasive method in various healthcare diagnostic and monitoring fields will be thoroughly discussed. To inspire next‐stage development in this thriving and fruitful field, we also crystalize key findings, pinpoint challenges that remain to be addressed and present an outlook on the future transitional development of salivary analysis, invigorating future research of groundbreaking non‐invasive healthcare diagnosis and monitoring strategies, and beyond.

ORCID iDs

Liao, Caizhi, Chen, Xiaofeng and Fu, Ying ORCID logoORCID: https://orcid.org/0000-0002-8196-6493;