Transforming Clinical Trials through the Power of AI

By making clinical trials more intelligent, optimizing end-to-end processes and delivering greater insight for smarter decision making, Artificial Intelligence (AI) has the power to transform the clinical trials industry. Learn how AI, machine learning and deep learning techniques can drive clinical trial efficiencies and help pharma bring new drugs and therapies to the market faster.

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Curious About your Clinical Trial Data Analytics? Overcoming the Top 3 Sponsor Obstacles

Clinical trial sponsors are responsible for patient safety, trial integrity, study oversight and vendor oversight. Each of these key accountabilities hinges on data ― quality data ― but it’s often difficult to know how data and processes measure up compared to other sponsors. Read this blog post as trial leaders discuss the three most common questions related to data quality and steps you can take to reduce risks and improve data analytics.

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Clinical Trials Today ─ and Tomorrow

ERT President and CEO Jim Corrigan sat down to speak with PharmaVOICE at DIA 2017. In the interview, he discusses the risks associated with clinical trials, highlights what’s needed to clear the hurdle of paper-based data collection in clinical research, and shares where the eClinical space will be five years from now.

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