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

Caizhi Liao, Xiaofeng Chen, Ying Fu

Research output: Contribution to journalReview articlepeer-review

33 Downloads (Pure)

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.
Original languageEnglish
Article numbere20230009
Number of pages20
JournalInterdisciplinary Medicine
Volume1
Issue number3
Early online date2 Jun 2023
DOIs
Publication statusE-pub ahead of print - 2 Jun 2023

Keywords

  • healthcare diagnosis
  • saliva
  • healthcare monitoring
  • non‐invasive
  • salivary analysis

Fingerprint

Dive into the research topics of 'Salivary analysis: an emerging paradigm for non‐invasive healthcare diagnosis and monitoring'. Together they form a unique fingerprint.

Cite this