The future of clinical trials involves large amounts of real-world data collected continuously for days to weeks at a time. These data provide the opportunity to identify and study novel endpoints that directly and comprehensively reflect disease manifestation and progression. Real-world data, however, can be prone to artifact, which must be appropriately rectified before accurate and clinically meaningful results can be achieved.
In the webinar, Dudley Tabakin, VivoSense CEO, discusses critical details about how to drive meaningful clinical trial data. He’ll share an internal study in which real-world respiration data were analyzed from 61 patients with Spinal Muscular Atrophy (SMA). You’ll get details on how a combination of human augmented AI, and robust algorithms helped the clinical research team:
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