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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.
Lugogo, Njira L; DePietro, Michael; Reich, Michael; Merchant, Rajan; Chrystyn, Henry; Pleasants, Roy; Granovsky, Lena; Li, Thomas; Hill, Tanisha; Brown, Randall W; Safioti, Guilherme.
Affiliation
  • Lugogo NL; Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.
  • DePietro M; Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USA.
  • Reich M; Teva Pharmaceutical Industries Ltd, Tel Aviv, Israel.
  • Merchant R; Woodland Clinic Medical Group, Allergy Department, Dignity Health, Woodland, CA, USA.
  • Chrystyn H; Inhalation Consultancy Ltd, Leeds, UK.
  • Pleasants R; 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, USA.
  • Granovsky L; Teva Pharmaceutical Industries Ltd, Tel Aviv, Israel.
  • Li T; Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USA.
  • Hill T; Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USA.
  • Brown RW; Teva Branded Pharmaceutical Products R&D Inc, Parsippany, NJ, USA.
  • Safioti G; Teva Pharmaceuticals Europe B.V, Amsterdam, the Netherlands.
J Asthma Allergy ; 15: 1623-1637, 2022.
Article in En | MEDLINE | ID: mdl-36387836

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2022 Type: Article

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Year: 2022 Type: Article