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Sensors that Learn: The Evolution from Taste Fingerprints to Patterns of Early Disease Detection

Department of Biomaterials, College of Dentistry, Bioengineering Institute, New York University, New York, NY 10010, USA
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Author to whom correspondence should be addressed.
Micromachines 2019, 10(4), 251; https://doi.org/10.3390/mi10040251
Received: 29 January 2019 / Revised: 22 March 2019 / Accepted: 12 April 2019 / Published: 16 April 2019
(This article belongs to the Special Issue Electronic Tongues)
The McDevitt group has sustained efforts to develop a programmable sensing platform that offers advanced, multiplexed/multiclass chem-/bio-detection capabilities. This scalable chip-based platform has been optimized to service real-world biological specimens and validated for analytical performance. Fashioned as a sensor that learns, the platform can host new content for the application at hand. Identification of biomarker-based fingerprints from complex mixtures has a direct linkage to e-nose and e-tongue research. Recently, we have moved to the point of big data acquisition alongside the linkage to machine learning and artificial intelligence. Here, exciting opportunities are afforded by multiparameter sensing that mimics the sense of taste, overcoming the limitations of salty, sweet, sour, bitter, and glutamate sensing and moving into fingerprints of health and wellness. This article summarizes developments related to the electronic taste chip system evolving into a platform that digitizes biology and affords clinical decision support tools. A dynamic body of literature and key review articles that have contributed to the shaping of these activities are also highlighted. This fully integrated sensor promises more rapid transition of biomarker panels into wide-spread clinical practice yielding valuable new insights into health diagnostics, benefiting early disease detection. View Full-Text
Keywords: electronic tongue; electronic taste chip; biosensors; point-of-care; biomarkers; serum; saliva; programmable bio-nano-chip (p-BNC); early disease detection electronic tongue; electronic taste chip; biosensors; point-of-care; biomarkers; serum; saliva; programmable bio-nano-chip (p-BNC); early disease detection
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Christodoulides, N.; McRae, M.P.; Simmons, G.W.; Modak, S.S.; McDevitt, J.T. Sensors that Learn: The Evolution from Taste Fingerprints to Patterns of Early Disease Detection. Micromachines 2019, 10, 251.

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