Improved Asthma Control

Improved asthma control is a major research focus, aiming to enhance diagnosis, treatment adherence, and overall management of this prevalent respiratory disease. Current efforts involve developing AI-powered tools, such as machine learning models and retrieval-augmented generation systems, for personalized monitoring, diagnosis support, and patient education (e.g., through gamified interactions with robots). These advancements leverage sensor data, sound pattern recognition, and computational modeling of respiratory mechanics to improve asthma management, particularly in resource-limited settings, ultimately reducing the disease's significant global burden.