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Updated: May 6, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
Published on: July 22, 2025
Non-adherence in difficult asthma and advances in detection
John T Lindsay1, Liam G Heaney
1Centre for Infection and Immunity, Health Sciences Building, Queens University Belfast, Lisburn Road, Belfast, UK.
Abstract:
Non-adherence to anti-inflammatory therapies is common in patients referred for specialist assessment at difficult-to-treat asthma services. In the difficult asthma setting, non-adherence to treatment is associated with poor baseline asthma control, increased frequency of exacerbations and asthma-related hospitalizations, as well as increased risk of death. Here, we present a review of the current literature surrounding the prevalence and risks of non-adherence in difficult asthma and we report on current methods of measuring treatment adherence and advances in the detection of non-adherence. We will also explore methods by which non-adherence in difficult asthma can be addressed.
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