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Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics

We are beginning a new era of Smart Diagnostics—integrated biosensors powered by recent innovations in embedded electronics, cloud computing, and artificial intelligence (AI). Universal and AI-based in vitro diagnostics (IVDs) have the potential to exponentially improve healthcare decision making in...

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Autores principales: McRae, Michael P., Rajsri, Kritika S., Alcorn, Timothy M., McDevitt, John T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459970/
https://www.ncbi.nlm.nih.gov/pubmed/36080827
http://dx.doi.org/10.3390/s22176355
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author McRae, Michael P.
Rajsri, Kritika S.
Alcorn, Timothy M.
McDevitt, John T.
author_facet McRae, Michael P.
Rajsri, Kritika S.
Alcorn, Timothy M.
McDevitt, John T.
author_sort McRae, Michael P.
collection PubMed
description We are beginning a new era of Smart Diagnostics—integrated biosensors powered by recent innovations in embedded electronics, cloud computing, and artificial intelligence (AI). Universal and AI-based in vitro diagnostics (IVDs) have the potential to exponentially improve healthcare decision making in the coming years. This perspective covers current trends and challenges in translating Smart Diagnostics. We identify essential elements of Smart Diagnostics platforms through the lens of a clinically validated platform for digitizing biology and its ability to learn disease signatures. This platform for biochemical analyses uses a compact instrument to perform multiclass and multiplex measurements using fully integrated microfluidic cartridges compatible with the point of care. Image analysis digitizes biology by transforming fluorescence signals into inputs for learning disease/health signatures. The result is an intuitive Score reported to the patients and/or providers. This AI-linked universal diagnostic system has been validated through a series of large clinical studies and used to identify signatures for early disease detection and disease severity in several applications, including cardiovascular diseases, COVID-19, and oral cancer. The utility of this Smart Diagnostics platform may extend to multiple cell-based oncology tests via cross-reactive biomarkers spanning oral, colorectal, lung, bladder, esophageal, and cervical cancers, and is well-positioned to improve patient care, management, and outcomes through deployment of this resilient and scalable technology. Lastly, we provide a future perspective on the direction and trajectory of Smart Diagnostics and the transformative effects they will have on health care.
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spelling pubmed-94599702022-09-10 Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics McRae, Michael P. Rajsri, Kritika S. Alcorn, Timothy M. McDevitt, John T. Sensors (Basel) Perspective We are beginning a new era of Smart Diagnostics—integrated biosensors powered by recent innovations in embedded electronics, cloud computing, and artificial intelligence (AI). Universal and AI-based in vitro diagnostics (IVDs) have the potential to exponentially improve healthcare decision making in the coming years. This perspective covers current trends and challenges in translating Smart Diagnostics. We identify essential elements of Smart Diagnostics platforms through the lens of a clinically validated platform for digitizing biology and its ability to learn disease signatures. This platform for biochemical analyses uses a compact instrument to perform multiclass and multiplex measurements using fully integrated microfluidic cartridges compatible with the point of care. Image analysis digitizes biology by transforming fluorescence signals into inputs for learning disease/health signatures. The result is an intuitive Score reported to the patients and/or providers. This AI-linked universal diagnostic system has been validated through a series of large clinical studies and used to identify signatures for early disease detection and disease severity in several applications, including cardiovascular diseases, COVID-19, and oral cancer. The utility of this Smart Diagnostics platform may extend to multiple cell-based oncology tests via cross-reactive biomarkers spanning oral, colorectal, lung, bladder, esophageal, and cervical cancers, and is well-positioned to improve patient care, management, and outcomes through deployment of this resilient and scalable technology. Lastly, we provide a future perspective on the direction and trajectory of Smart Diagnostics and the transformative effects they will have on health care. MDPI 2022-08-24 /pmc/articles/PMC9459970/ /pubmed/36080827 http://dx.doi.org/10.3390/s22176355 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
McRae, Michael P.
Rajsri, Kritika S.
Alcorn, Timothy M.
McDevitt, John T.
Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title_full Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title_fullStr Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title_full_unstemmed Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title_short Smart Diagnostics: Combining Artificial Intelligence and In Vitro Diagnostics
title_sort smart diagnostics: combining artificial intelligence and in vitro diagnostics
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459970/
https://www.ncbi.nlm.nih.gov/pubmed/36080827
http://dx.doi.org/10.3390/s22176355
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