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Journal of Asthma and Allergy Volume 15, 2022 - Issue
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ORIGINAL RESEARCH

A Predictive Machine Learning Tool for Asthma Exacerbations: Results from a 12-Week, Open-Label Study Using an Electronic Multi-Dose Dry Powder Inhaler with Integrated Sensors

Njira L Lugogo1 Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USACorrespondence[email protected]
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Michael DePietro2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAORCID Iconhttps://orcid.org/0000-0002-8729-2530View further author information
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Michael Reich3 Teva Pharmaceutical Industries Ltd, Tel Aviv, IsraelView further author information
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Rajan Merchant4 Woodland Clinic Medical Group, Allergy Department, Dignity Health, Woodland, CA, USAView further author information
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Henry Chrystyn5 Inhalation Consultancy Ltd, Leeds, UKView further author information
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Roy Pleasants6 Population Health, University of Michigan, Ann Arbor, MI and Division of Pulmonary Disease and Critical Care Medicine, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, USAView further author information
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Lena Granovsky3 Teva Pharmaceutical Industries Ltd, Tel Aviv, IsraelView further author information
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Thomas Li2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
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Tanisha Hill2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
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Randall W Brown2 Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USAView further author information
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Guilherme Safioti7 Teva Pharmaceuticals Europe B.V, Amsterdam, the NetherlandsView further author information
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Pages 1623-1637 | Received 09 Jul 2022, Accepted 02 Nov 2022, Published online: 11 Nov 2022

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Read on this site (1)

Sinthia Bosnic-Anticevich, Nawar Diar Bakerly, Henry Chrystyn, Mark Hew & Job van der Palen. (2023) Advancing Digital Solutions to Overcome Longstanding Barriers in Asthma and COPD Management. Patient Preference and Adherence 17, pages 259-272.
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Articles from other publishers (2)

Merlijn van Breugel, Rudolf S. N. Fehrmann, Marnix Bügel, Faisal I. Rezwan, John W. Holloway, Martijn C. Nawijn, Sara Fontanella, Adnan Custovic & Gerard H. Koppelman. (2023) Current state and prospects of artificial intelligence in allergy. Allergy.
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Derek MacMath, Meng Chen & Paneez Khoury. (2023) Artificial Intelligence: Exploring the Future of Innovation in Allergy Immunology. Current Allergy and Asthma Reports 23:6, pages 351-362.
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