What's Actually Working In AI-Enabled Respiratory Trials: From Recruitment To Site Readiness

Respiratory clinical trials are becoming increasingly challenging. Targeted therapies and growing biologic adoption are narrowing eligible patient populations, while competition for patients and high-performing sites continues to intensify. At the same time, complex protocols, demanding endpoints and operational barriers can increase patient and site burden, contributing to slower recruitment, delayed study start-up and greater execution risk. The scale of respiratory research is significant, with industry data reflecting 3,100+ global investigators, 175+ Phase I–IV studies, 30,000+ patients across 8,000+ sites in 70+ countries, and contributions to the development of 20+ marketed respiratory products.

This webinar will explore how AI and digital solutions can help address these interconnected challenges across the clinical trial lifecycle. From optimizing study design and identifying the right patients and sites, to predicting enrollment, reducing participant burden and detecting emerging site and quality risks earlier, we will examine how technology can enable a shift from reactive problem-solving toward earlier prediction and targeted intervention.