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Editor-in-chief
Maria Stella Graziani

Deputy Director
Martina Zaninotto

Associate Editors
Ferruccio Ceriotti
Davide Giavarina
Bruna Lo Sasso
Giampaolo Merlini
Martina Montagnana
Andrea Mosca
Paola Pezzati
Rossella Tomaiuolo
Matteo Vidali

EIC Assistant
Francesco Busardò

International Advisory Board Khosrow Adeli Canada
Sergio Bernardini Italy
Marcello Ciaccio Italy
Eleftherios Diamandis Canada
Philippe Gillery France
Kjell Grankvist Sweden
Hans Jacobs The Netherlands
Eric Kilpatrick UK
Magdalena Krintus Poland
Giuseppe Lippi Italy
Mario Plebani Italy
Sverre Sandberg Norway
Ana-Maria Simundic Croatia
Tommaso Trenti Italy
Cas Weykamp The Netherlands
Maria Willrich USA
Paul Yip Canada

Publisher
Biomedia srl
Via L. Temolo 4, 20126 Milano

Responsible Editor
Giuseppe Agosta

Editorial Secretary
Chiara Riva
Biomedia srl
Via L. Temolo 4, 20126 Milano
Tel. 0245498282
email: biochimica.clinica@sibioc.it

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ISSN print: 0393 – 0564
ISSN digital: 0392- 7091

BC: Articoli scritti da G. Riva

Big Data e Intelligenza Artificiale in Medicina di Laboratorio
Artificial intelligence and big data in laboratory medicine
R. Guerranti \| T. Fasano \| E. Inglese \| C. Bellini \| L. Lanzilao \| A. Mancini \| G. Banfi \| M. Plebani \| M. Ciampi \| S. Dalmiani \| N. Musacchio \| E. Stanghellini \| D. Giavarina \| G. Riva \| A. Padoan \|
<p><span style="color:rgb(33, 29, 30); font-family:calibri,sans-serif; font-size:9pt">In the last few years, artificial intelligence (AI) is gaining attention in several medical disciplines, including laboratory medicine (LM). The raised interest on AI has been fueled not only by the huge amounts of information daily generated, but also by the special natural context offered by laboratories, where digitalization have already occupied an important part of the routine workflow of patients’ data. Motivated by these topics and under the auspices of SIBioC, a conference on AI and big data was organized in May 2022 in Bologna, Italy. This conference covered several topics of AI and big data, including but not limited to the current and future perspectives, comprising ethical challenges and the role of laboratory specialists, including young professionals, the productive integration of AI with information technologies and with other digital infrastructure, such as the LOINC and the block chain. Furthermore, some examples of real application of AI in LM were reported, including diagnosis and monitoring of familiar hypercholesterolemia, management of insulin treatments for diabetes, reference intervals identification and verification by indirect methods, COVID-19 diagnosis and the monitoring of outpatients monoclonal gammopathy treatment by digital healthcare</span></p>
Biochimica Clinica ; 47(1) 074-081 Documenti - Documents

Dalla sepsi al COVID-19: il ruolo emergente di MDW
From sepsis to COVID-19: the emerging role of Monocyte Distribution Width (MDW).
G. Riva \| V. Nasillo \| M. Luppi \| E. Tagliafico \| T. Trenti \|
<p><span style="color:#211D1E; font-size:9.0pt">Immune activation of the monocyte-macrophage population plays a pivotal role in the systemic hyper-inflammatory response, typically observed during severe dysimmune diseases, such as sepsis and COVID-19. In this commentary, we have reviewed the literature data on the novel cytometric marker of monocyte activation, known as MDW (Monocyte Volume Distribution Width), a monocyte dimensional parameter obtainable by blood count examination, which has recently been approved for clinical use as “Early Sepsis Indicator” (ESId), in patients accessing the Emergency Department. In particular, in this Opinion paper, we highlight the main clinical applications and relevant perspectives of this new test: from its use for (early) diagnosis of sepsis, in different hospital settings, to its emerging prognostic role in patients with COVID-19, as a biomarker of disease severity. In view of the reported evidence, we discuss the clinico-pathological notion that, basically, severe COVID-19 can be considered a new form of viral sepsis. Further clinical studies are needed to better understand the pre-analytical and analytical variables of this parameter, correlate MDW dynamics with those of other humoral and cytometric markers, and validate the new diagnostic and prognostic applications of MDW on large multicenter case series.</span></p>
Biochimica Clinica ; 46(4) 336 Opinioni - Opinions