Human Augmented AI is Vital for Clinical Trial Endpoints
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, you’ll get details on how a combination of human augmented AI and robust algorithms helped the clinical research team improve patient outcomes through better science.
Escalating costs and plummeting success rates has the pharmaceutical industry reevaluating how clinical drug trials are conducted. During this webinar presentation, you’ll hear from an expert panel about bringing digital endpoints online as quickly as practically possible. Watch Now
uring this presentation, our lead scientist, Kate Lyden, Ph.D, shares an example of one of the first regulated clinical trials that used a wearable sensor to monitor or measure a digital biomarker in a patient’s home setting. Watch Now
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