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Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

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Title: Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.
Authors: Vásquez-Andrade R; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain., Alcaraz-Serrano V; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain., Buekers J; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain., Bufano P; Institute of Clinical Physiology, National Research Council, Pisa, Italy., Laurino M; Institute of Clinical Physiology, National Research Council, Pisa, Italy., Celi A; Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy., Watz H; Velocity Clinical Research Germany, Ahrensburg, Germany.; Airway Research Center North (ARCN), German Center for Lung Research (DZL), University of Lübeck, Lübeck, Germany., Gea J; Servei de Pneumologia, Hospital del Mar, Hospital del Mar Research Institute, Barcelona, Spain.; MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain., Carbonaro N; Department of Information Engineering, University of Pisa, Pisa, Italy., Tognetti A; Department of Information Engineering, University of Pisa, Pisa, Italy., Garcia-Aymerich J; Barcelona Institute for Global Health, Barcelona, Spain judith.garcia@isglobal.org.; Universitat Pompeu Fabra, Barcelona, Spain.
Source: BMJ open respiratory research [BMJ Open Respir Res] 2026 Jun 04; Vol. 13 (1). Date of Electronic Publication: 2026 Jun 04.
Publication Type: Clinical Trial Protocol; Journal Article
Journal Info: Publisher: BMJ Publishing Group Ltd & British Thoracic Society Country of Publication: England NLM ID: 101638061 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4439 (Electronic) Linking ISSN: 20524439 NLM ISO Abbreviation: BMJ Open Respir Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.
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  Data: <searchLink fieldCode="AU" term="%22Vásquez-Andrade+R%22">Vásquez-Andrade R</searchLink>; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Alcaraz-Serrano+V%22">Alcaraz-Serrano V</searchLink>; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Buekers+J%22">Buekers J</searchLink>; Barcelona Institute for Global Health, Barcelona, Spain.; Universitat Pompeu Fabra, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Bufano+P%22">Bufano P</searchLink>; Institute of Clinical Physiology, National Research Council, Pisa, Italy.<br /><searchLink fieldCode="AU" term="%22Laurino+M%22">Laurino M</searchLink>; Institute of Clinical Physiology, National Research Council, Pisa, Italy.<br /><searchLink fieldCode="AU" term="%22Celi+A%22">Celi A</searchLink>; Department of Surgical, Medical, Molecular and Critical Area Pathology, University of Pisa, Pisa, Italy.<br /><searchLink fieldCode="AU" term="%22Watz+H%22">Watz H</searchLink>; Velocity Clinical Research Germany, Ahrensburg, Germany.; Airway Research Center North (ARCN), German Center for Lung Research (DZL), University of Lübeck, Lübeck, Germany.<br /><searchLink fieldCode="AU" term="%22Gea+J%22">Gea J</searchLink>; Servei de Pneumologia, Hospital del Mar, Hospital del Mar Research Institute, Barcelona, Spain.; MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Carbonaro+N%22">Carbonaro N</searchLink>; Department of Information Engineering, University of Pisa, Pisa, Italy.<br /><searchLink fieldCode="AU" term="%22Tognetti+A%22">Tognetti A</searchLink>; Department of Information Engineering, University of Pisa, Pisa, Italy.<br /><searchLink fieldCode="AU" term="%22Garcia-Aymerich+J%22">Garcia-Aymerich J</searchLink>; Barcelona Institute for Global Health, Barcelona, Spain judith.garcia@isglobal.org.; Universitat Pompeu Fabra, Barcelona, Spain.
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  Data: <searchLink fieldCode="JN" term="%22101638061%22">BMJ open respiratory research</searchLink> [BMJ Open Respir Res] 2026 Jun 04; Vol. 13 (1). <i>Date of Electronic Publication: </i>2026 Jun 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BMJ+Publishing+Group+Ltd+%26+British+Thoracic+Society%22">BMJ Publishing Group Ltd & British Thoracic Society </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101638061 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2052-4439 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220524439%22">20524439 </searchLink><i>NLM ISO Abbreviation: </i>BMJ Open Respir Res <i>Subsets: </i>MEDLINE
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              Text: 2026 Jun 04
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