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Improve Clinical Trial Delivery by Leveraging AI Forecasting Tools

Slow planning cycles, fragmented data and manual processes hinder clinical trial delivery, straining resources and delaying timelines.

Artificial intelligence (AI) addresses key challenges in trial planning by automating tasks like proposal development, feasibility analysis, and site selection. This reduces manual workloads, accelerates timelines, and optimizes resource allocation, leading to significant cost savings.

Join this webinar and learn how (AI) addresses these challenges integrates predictive forecasting and automation to enhance decision-making and operational efficiency.  Our speakers explore how AI innovations reduce operational costs and enhance trial success rates by overcoming data integration challenges and resistance to digital transformation.

Speakers:

Dave Hiltbrand

Dave Hiltbrand
Director, AI Center of Excellence, PPD clinical research business of Thermo Fisher Scientific

Nikki McLean

Nikki McLean
Sr. Operations Strategy Lead, PPD clinical research business of Thermo Fisher Scientific

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