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Intelligent Automation for Clinical Trials
Clinical trials fail for a variety of reasons, including the inability to recruit enough participants, mid-trial patient dropout, severe patient side effects and poor data collection methods resulting in missing established endpoints. These challenges offer an opportunity ripe for intelligent automation to provide practical solutions to address the clinical trials process.
This white paper explores:
- How machine learning and robotic process automation (RPA) can help providers identify the most effective clinical trials for patients
- The ways in which RPA and APIs can be leveraged to address patient enrollment and clinical documentation challenges
- How to use predictive analytics in adaptive design for clinical trials
- The ability for AI-enabled wearable devices to help patients with medication adherence
Download your copy of the white paper today to learn how the pharmaceutical industry can turn to technological solutions to save money and streamline the clinical trial process.
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White Paper
Improving Onboarding for Financial Services Institutional Clients
Historically, financial institutions have not viewed the process of onboarding institutional clients as a key differentiator, leading to a sub-optimal experience. Here’s how firms can improve that.
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Blog
Welcoming the New Age of Automation Assessment
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In the News
RPA: Recruiting Bots to Accelerate Clinical Trials
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In the News
EPAM & Syngenta: Driving Excellence in R&D Technology & Beyond
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Blog
The Evolution of the Vaccine Lifecycle
COVID-19 highlighted many of the challenges in the clinical trial process. From vaccine monitoring to intelligent vaccine distribution, pharma companies will need to adapt to evolve the lifecycle.