Clinical Trial Design enabled by AI-Driven Insights & Intelligent Automation
Leading pharmaceutical companies today are exploring the potential to use AI-enabled insights from historical clinical trial data and real-world data to make more informed decisions at the beginning of the clinical trial design and planning lifecycle. Optimizing clinical trial design can help reduce the risk of costly delays and protocol amendments - ultimately accelerating time to market and bringing lifesaving treatments to patients faster.
In this webinar, PwC will share how they have leveraged machine learning (ML) models and intelligent automation capabilities built on the AWS technology stack to help leading pharma companies design solutions for clinical trial design.
Watching this webinar, you will learn:
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How to use data ingestion and NLP pipelines to digitize clinical trial protocols and extract insights from your historical trials and competitor trials (from publicly available datasets)
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How to optimize inclusion / exclusion criteria to reduce likelihood of protocol amendments and reduce screen failure rates, and meet diversity goals
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How to design schedule of activities to reduce cost, reduce patient burden, and consider decentralized / virtual options
Speakers:
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Sidd Bhattacharya
Director, Digital & Cloud Transformation, PwC |
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Eddie Valaitis
Director, Clinical Transformation, PwC |
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Shefali Jain
Manager, Digital & Cloud Transformation, PwC |
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Dr. Kosmas Kretsos
Business Development Lead, Healthcare and Life Sciences, Amazon Web Services |
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Matt Rich
Partner, Digital & Cloud Transformation, PwC |
