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Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence

The complete blood count (CBC) is one of the most requested tests by physicians. CBC tests, most realized in conventional hematological analyzers, are restricted to centralized laboratories due to frequent maintenance, large devices, and expensive costs required. On the other hand, most handheld CBC...

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Autores principales: Gasparin, Aléxia Thamara, Araujo, Claudiane Isabel Franco, Schmitt, Patricia, Cardoso, Mônica Ribas, Perussolo, Maiara Carolina, de Jesus, Thainá Caroline Schuartz, Santiago, Erika Bergamo, Silva, Ivan Lucas Reis, de Sousa, Ricardo Gurgel, Teng, Flavia Zhu, Severo, Evair Borges, Ribeiro, Victor Henrique Alves, Cardoso, Milena Andreuzo, Silva, Fernanda D’Amico, de Araujo Perazzoli, Carolina Rodrigues, de Holanda Farias, João Samuel, de Almeida, Bernardo Montesanti Machado, Rogal Júnior, Sergio Renato, Figueredo, Marcus Vinícius Mazega
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213419/
https://www.ncbi.nlm.nih.gov/pubmed/35729182
http://dx.doi.org/10.1038/s41598-022-13913-8
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author Gasparin, Aléxia Thamara
Araujo, Claudiane Isabel Franco
Schmitt, Patricia
Cardoso, Mônica Ribas
Perussolo, Maiara Carolina
de Jesus, Thainá Caroline Schuartz
Santiago, Erika Bergamo
Silva, Ivan Lucas Reis
de Sousa, Ricardo Gurgel
Teng, Flavia Zhu
Severo, Evair Borges
Ribeiro, Victor Henrique Alves
Cardoso, Milena Andreuzo
Silva, Fernanda D’Amico
de Araujo Perazzoli, Carolina Rodrigues
de Holanda Farias, João Samuel
de Almeida, Bernardo Montesanti Machado
Rogal Júnior, Sergio Renato
Figueredo, Marcus Vinícius Mazega
author_facet Gasparin, Aléxia Thamara
Araujo, Claudiane Isabel Franco
Schmitt, Patricia
Cardoso, Mônica Ribas
Perussolo, Maiara Carolina
de Jesus, Thainá Caroline Schuartz
Santiago, Erika Bergamo
Silva, Ivan Lucas Reis
de Sousa, Ricardo Gurgel
Teng, Flavia Zhu
Severo, Evair Borges
Ribeiro, Victor Henrique Alves
Cardoso, Milena Andreuzo
Silva, Fernanda D’Amico
de Araujo Perazzoli, Carolina Rodrigues
de Holanda Farias, João Samuel
de Almeida, Bernardo Montesanti Machado
Rogal Júnior, Sergio Renato
Figueredo, Marcus Vinícius Mazega
author_sort Gasparin, Aléxia Thamara
collection PubMed
description The complete blood count (CBC) is one of the most requested tests by physicians. CBC tests, most realized in conventional hematological analyzers, are restricted to centralized laboratories due to frequent maintenance, large devices, and expensive costs required. On the other hand, most handheld CBC devices commercially available show high prices and are not liable to calibration or control procedures, which results in poor quality compared to standard hematology instruments. The Hilab system is a small-handed hematological platform that uses microscopy and chromatography techniques for blood cells and hematimetric parameters analysis through artificial intelligence, machine learning, and deep learning techniques. For clinical evaluation of the handheld CBC device, 450 blood samples were analyzed. The samples encompassed normal (82%) and pathological conditions (18%), such as thalassemias (2.2%), anemias (6.6%), and infections (9.2%). For all analytes, accuracy, precision, method comparison, and flagging capabilities of the Hilab System, were compared with the Sysmex XE-2100 (Sysmex, Japan) results. The sample source (venous and capillary) influences were also evaluated. Pearson correlation, Student t test, bias, and the Bland–Altman plot of each blood count analyte were calculated and shown. The significance level was set at p ≤ 0.05. For clinical evaluation, Hilab System and the Sysmex XE-2100 showed a strong correlation (r ≥ 0.9) for most evaluated parameters. In the precision study, analytes showed CV inside the limits established according to European Federation of Clinical Chemistry and Laboratory Medicine guidelines. The flagging capabilities of the Hilab system, compared to the manual microscopy technique, presented high sensibility, specificity, and accuracy. Venous and capillary samples (p > 0.05) do not differ statistically. Considering the need for point-of-care CBCs, the study indicated that the Hilab system provides fast, accurate, low cost, and robust analysis for reliable clinical use.
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spelling pubmed-92134192022-06-23 Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence Gasparin, Aléxia Thamara Araujo, Claudiane Isabel Franco Schmitt, Patricia Cardoso, Mônica Ribas Perussolo, Maiara Carolina de Jesus, Thainá Caroline Schuartz Santiago, Erika Bergamo Silva, Ivan Lucas Reis de Sousa, Ricardo Gurgel Teng, Flavia Zhu Severo, Evair Borges Ribeiro, Victor Henrique Alves Cardoso, Milena Andreuzo Silva, Fernanda D’Amico de Araujo Perazzoli, Carolina Rodrigues de Holanda Farias, João Samuel de Almeida, Bernardo Montesanti Machado Rogal Júnior, Sergio Renato Figueredo, Marcus Vinícius Mazega Sci Rep Article The complete blood count (CBC) is one of the most requested tests by physicians. CBC tests, most realized in conventional hematological analyzers, are restricted to centralized laboratories due to frequent maintenance, large devices, and expensive costs required. On the other hand, most handheld CBC devices commercially available show high prices and are not liable to calibration or control procedures, which results in poor quality compared to standard hematology instruments. The Hilab system is a small-handed hematological platform that uses microscopy and chromatography techniques for blood cells and hematimetric parameters analysis through artificial intelligence, machine learning, and deep learning techniques. For clinical evaluation of the handheld CBC device, 450 blood samples were analyzed. The samples encompassed normal (82%) and pathological conditions (18%), such as thalassemias (2.2%), anemias (6.6%), and infections (9.2%). For all analytes, accuracy, precision, method comparison, and flagging capabilities of the Hilab System, were compared with the Sysmex XE-2100 (Sysmex, Japan) results. The sample source (venous and capillary) influences were also evaluated. Pearson correlation, Student t test, bias, and the Bland–Altman plot of each blood count analyte were calculated and shown. The significance level was set at p ≤ 0.05. For clinical evaluation, Hilab System and the Sysmex XE-2100 showed a strong correlation (r ≥ 0.9) for most evaluated parameters. In the precision study, analytes showed CV inside the limits established according to European Federation of Clinical Chemistry and Laboratory Medicine guidelines. The flagging capabilities of the Hilab system, compared to the manual microscopy technique, presented high sensibility, specificity, and accuracy. Venous and capillary samples (p > 0.05) do not differ statistically. Considering the need for point-of-care CBCs, the study indicated that the Hilab system provides fast, accurate, low cost, and robust analysis for reliable clinical use. Nature Publishing Group UK 2022-06-21 /pmc/articles/PMC9213419/ /pubmed/35729182 http://dx.doi.org/10.1038/s41598-022-13913-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Gasparin, Aléxia Thamara
Araujo, Claudiane Isabel Franco
Schmitt, Patricia
Cardoso, Mônica Ribas
Perussolo, Maiara Carolina
de Jesus, Thainá Caroline Schuartz
Santiago, Erika Bergamo
Silva, Ivan Lucas Reis
de Sousa, Ricardo Gurgel
Teng, Flavia Zhu
Severo, Evair Borges
Ribeiro, Victor Henrique Alves
Cardoso, Milena Andreuzo
Silva, Fernanda D’Amico
de Araujo Perazzoli, Carolina Rodrigues
de Holanda Farias, João Samuel
de Almeida, Bernardo Montesanti Machado
Rogal Júnior, Sergio Renato
Figueredo, Marcus Vinícius Mazega
Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title_full Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title_fullStr Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title_full_unstemmed Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title_short Hilab system, a new point-of-care hematology analyzer supported by the Internet of Things and Artificial Intelligence
title_sort hilab system, a new point-of-care hematology analyzer supported by the internet of things and artificial intelligence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213419/
https://www.ncbi.nlm.nih.gov/pubmed/35729182
http://dx.doi.org/10.1038/s41598-022-13913-8
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