About

Asthma is a chronic respiratory condition that affects millions of people worldwide. Despite its prevalence, the current clinical diagnostic methods for asthma remain complex, costly, and time-consuming. It often creates significant barriers for timely diagnosis and effective patient care. These challenges hinder the ability to provide fast, accurate, and consistent care for individuals suffering from asthma, particularly in under-resourced or rural areas where access to specialized medical services is limited. The Asquire project tackles these challenges by offering a faster, more accessible, and cost-effective approach to diagnosing and monitoring asthma. Using vocal sounds, such as sustained phonations, breath sounds, and cough sounds. Asquire applies advanced machine learning and signal processing techniques to analyze these audio inputs. Through Asquire’s web application, patients and healthcare providers can effortlessly record and submit relevant sounds for analysis. This tool not only provides a reliable diagnostic method but also enables continuous monitoring of asthma symptom severity over time. By offering a streamlined, data-driven approach to respiratory care, Asquire aims to transform asthma management, making it more accessible and efficient for patients and healthcare providers alike. Ultimately, this innovative approach has the potential to enhance overall respiratory healthcare by breaking down traditional barriers to quality asthma diagnostics.