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SERS biosensors show promise as point-of-care tools for acute myocardial infarction diagnosis using AI.
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Cardiovascular disease is a major global health issue. In particular, acute myocardial infarction (AMI) requires urgent attention and early diagnosis. The use of point-of-care diagnostics has resulted in the improved management of cardiovascular disease, but a major drawback is that the performance of POC devices does not rival that of central laboratory tests. Recently, many studies and advances have been made in the field of surface-enhanced Raman scattering (SERS), including the development of POC biosensors that utilize this detection method. Here, we present a review of the strengths and limitations of these emerging SERS-based biosensors for AMI diagnosis. The ability of SERS to multiplex sensing against existing POC detection methods are compared and discussed. Furthermore, SERS calibration-free methods that have recently been explored to minimize the inconvenience and eliminate the limitations caused by the limited linear range and interassay differences found in the calibration curves are outlined. In addition, the incorporation of artificial intelligence (AI) in SERS techniques to promote multivariate analysis and enhance diagnostic accuracy are discussed. The future prospects for SERS-based POC devices that include wearable POC SERS devices toward predictive, personalized medicine following the Fourth Industrial Revolution are proposed.
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Low et al. (2020) conducted a review in Acute myocardial infarction (AMI). Surface-enhanced Raman scattering (SERS)-based point-of-care biosensors vs. Existing point-of-care detection methods and central laboratory tests was evaluated on Acute myocardial infarction diagnosis. Surface-enhanced Raman scattering (SERS) biosensors offer an emerging point-of-care approach for acute myocardial infarction diagnosis through multiplexing, calibration-free methods, and AI.
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