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- W3163687846 endingPage "113331" @default.
- W3163687846 startingPage "113331" @default.
- W3163687846 abstract "Optical biosensors are low-cost, sensitive and portable devices that are poised to revolutionize the medical industry. Healthcare monitoring has already been transformed by such devices, with notable recent applications including heart rate monitoring in smartwatches and COVID-19 lateral flow diagnostic test kits. The commercial success and impact of existing optical sensors has galvanized research in expanding its application in numerous disciplines. Drug detection and monitoring seeks to benefit from the fast-approaching wave of optical biosensors, with diverse applications ranging from illicit drug testing, clinical trials, monitoring in advanced drug delivery systems and personalized drug dosing. The latter has the potential to significantly improve patients' lives by minimizing toxicity and maximizing efficacy. To achieve this, the patient's serum drug levels must be frequently measured. Yet, the current method of obtaining such information, namely therapeutic drug monitoring (TDM), is not routinely practiced as it is invasive, expensive, time-consuming and skilled labor-intensive. Certainly, optical sensors possess the capabilities to challenge this convention. This review explores the current state of optical biosensors in personalized dosing with special emphasis on TDM, and provides an appraisal on recent strategies. The strengths and challenges of optical biosensors are critically evaluated, before concluding with perspectives on the future direction of these sensors." @default.
- W3163687846 created "2021-05-24" @default.
- W3163687846 creator A5020162492 @default.
- W3163687846 creator A5031888549 @default.
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- W3163687846 creator A5062166996 @default.
- W3163687846 creator A5063675922 @default.
- W3163687846 creator A5077981642 @default.
- W3163687846 date "2021-09-01" @default.
- W3163687846 modified "2023-10-17" @default.
- W3163687846 title "Optical biosensors - Illuminating the path to personalized drug dosing" @default.
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