{"title":"口腔疾病生物传感器和数字健康整合方面未开发的机会","authors":"Hichem Moulahoum, Faezeh Ghorbanizamani","doi":"10.1016/j.cca.2025.120401","DOIUrl":null,"url":null,"abstract":"<div><div>Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of life. Traditional diagnostic approaches, though effective, are often limited by their invasiveness, lack of sensitivity, and inability to provide real-time monitoring. Biosensors, particularly colorimetric and electrochemical types, offer promising alternatives by enabling rapid, non-invasive detection of disease-related biomarkers in saliva or breath. However, current biosensor applications in oral health are predominantly designed for single-time measurements, with limited capabilities for continuous monitoring and integration with digital health platforms. This narrative review synthesizes literature published in the last 10 years from major databases, focusing on recent advances in salivary biosensors for oral disease monitoring, with emphasis on OSCC and OPMDs. The review also explores the emerging role of artificial intelligence and digital platforms in transforming biosensor data into clinically meaningful insights. Addressing these areas could enhance the practicality and accessibility of biosensors, offering a proactive approach to oral healthcare and improving patient outcomes. This paper underscores the need for interdisciplinary collaboration to bridge current technological gaps, paving the way for a future where personalized, preventative care in oral pathology becomes standard practice.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"576 ","pages":"Article 120401"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unexploited opportunities in oral disease biosensors and digital health integration\",\"authors\":\"Hichem Moulahoum, Faezeh Ghorbanizamani\",\"doi\":\"10.1016/j.cca.2025.120401\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of life. Traditional diagnostic approaches, though effective, are often limited by their invasiveness, lack of sensitivity, and inability to provide real-time monitoring. Biosensors, particularly colorimetric and electrochemical types, offer promising alternatives by enabling rapid, non-invasive detection of disease-related biomarkers in saliva or breath. However, current biosensor applications in oral health are predominantly designed for single-time measurements, with limited capabilities for continuous monitoring and integration with digital health platforms. This narrative review synthesizes literature published in the last 10 years from major databases, focusing on recent advances in salivary biosensors for oral disease monitoring, with emphasis on OSCC and OPMDs. The review also explores the emerging role of artificial intelligence and digital platforms in transforming biosensor data into clinically meaningful insights. Addressing these areas could enhance the practicality and accessibility of biosensors, offering a proactive approach to oral healthcare and improving patient outcomes. This paper underscores the need for interdisciplinary collaboration to bridge current technological gaps, paving the way for a future where personalized, preventative care in oral pathology becomes standard practice.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"576 \",\"pages\":\"Article 120401\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009898125002803\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125002803","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Unexploited opportunities in oral disease biosensors and digital health integration
Oral pathologies such as oral cancer, oral potentially malignant disorders (OPMDs), oral squamous cell carcinoma (OSCC), represent significant global health challenges owing to their prevalence, complex management, and impact on patient quality of life. Traditional diagnostic approaches, though effective, are often limited by their invasiveness, lack of sensitivity, and inability to provide real-time monitoring. Biosensors, particularly colorimetric and electrochemical types, offer promising alternatives by enabling rapid, non-invasive detection of disease-related biomarkers in saliva or breath. However, current biosensor applications in oral health are predominantly designed for single-time measurements, with limited capabilities for continuous monitoring and integration with digital health platforms. This narrative review synthesizes literature published in the last 10 years from major databases, focusing on recent advances in salivary biosensors for oral disease monitoring, with emphasis on OSCC and OPMDs. The review also explores the emerging role of artificial intelligence and digital platforms in transforming biosensor data into clinically meaningful insights. Addressing these areas could enhance the practicality and accessibility of biosensors, offering a proactive approach to oral healthcare and improving patient outcomes. This paper underscores the need for interdisciplinary collaboration to bridge current technological gaps, paving the way for a future where personalized, preventative care in oral pathology becomes standard practice.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.