Vocal biomarkers correlate with FEV1 variations during methacholine challenge
The app's algorithm is sensitive in correlating specific vocal biomarkers to FEV1 variations during MCT. This feature may assist physicians in diagnosing asthma and its exacerbation and in assessing therapy response and adherence. The socio-economic implications might be significant, and the simplicity of use makes it an ideal tool for research.
Authors
- Arianna Arienzo
- Victor Savevski (ORCID: https://orcid.org/0000-0002-3376-8740)
- Giorgio Walter Canonica (ORCID: https://orcid.org/0000-0001-8467-2557)
- Fulvio Cordella
- Giovanni Costanzo (ORCID: https://orcid.org/0009-0002-3267-0140)
- Francesca Puggioni (ORCID: https://orcid.org/0000-0001-6638-5626)
- Maria Messina (ORCID: https://orcid.org/0000-0003-3999-3372)
- Morena Merigo
- Enrico Marco Heffler (ORCID: https://orcid.org/0000-0002-0492-5663)
- Sebastian Ferri (ORCID: https://orcid.org/0000-0002-1831-9672)
- Giovanni Paoletti (ORCID: https://orcid.org/0000-0003-3953-9225)
- Ayana de Brito Martins
- Giuseppe Ranieri
Institutions
- Humanitas University (IT)
- IRCCS Humanitas Research Hospital (IT)
Publication Details
- Journal
- Clinical and Translational Allergy
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1002/clt2.70055
- Citations
- 2
- Primary Topic
- Respiratory and Cough-Related Research
- Type
- article
- Field-Weighted Citation Impact
- 3.04