From population-based to personalized laboratory medicine: continuous monitoring of individual laboratory data with wearable biosensors.

Monitoring individuals' laboratory data is essential for assessing their health status, evaluating the effectiveness of treatments, predicting disease prognosis and detecting subclinical conditions. Currently, monitoring is performed intermittently, measuring serum, plasma, whole blood, urine and oc...

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Detalles Bibliográficos
Publicado en:Critical Reviews in Clinical Laboratory Sciences Vol. 62; no. 3; pp. 198 - 228
Autores principales: Coskun, Abdurrahman, Savas, Irem Nur, Can, Ozge, Lippi, Giuseppe
Formato: equations & formulas pictorial review tables/charts Journal Article
Publicado: Taylor & Francis Ltd May2025
Acceso en línea:Ver este registro en EBSCOhost
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Sumario:Monitoring individuals' laboratory data is essential for assessing their health status, evaluating the effectiveness of treatments, predicting disease prognosis and detecting subclinical conditions. Currently, monitoring is performed intermittently, measuring serum, plasma, whole blood, urine and occasionally other body fluids at predefined time intervals. The ideal monitoring approach entails continuous measurement of concentration and activity of biomolecules in all body fluids, including solid tissues. This can be achieved through the use of biosensors strategically placed at various locations on the human body where measurements are required for monitoring. High-tech wearable biosensors provide an ideal, noninvasive, and esthetically pleasing solution for monitoring individuals' laboratory data. However, despite significant advances in wearable biosensor technology, the measurement capacities and the number of different analytes that are continuously monitored in patients are not yet at the desired level. In this review, we conducted a literature search and examined: (i) an overview of the background of monitoring for personalized laboratory medicine, (ii) the body fluids and analytes used for monitoring individuals, (iii) the different types of biosensors and methods used for measuring the concentration and activity of biomolecules, and (iv) the statistical algorithms used for personalized data analysis and interpretation in monitoring and evaluation.