Next-gen digital health innovation in clinical trials

The Next Horizon of Digital Clinical Trials

Digital transformation of clinical trials is already underway. Rather than doing the same things more efficiently vanguard companies are looking for ways to use technology to do things differently. Some of these solutions are right around the corner, while others are further off. Below are some of the most exciting developments we are tracking in the space:

  • Replace traditional control arms with synthetic control arms or digital twins
    Traditionally, control groups in randomized controlled trials will receive a placebo or the current therapy considered standard-of-care to serve as a comparison for the intervention under investigation. However, the use of traditional control groups has raised ethical questions especially for debilitating conditions such as cancer or rare disease, or when the standard of care has limited efficacy. One alternative is synthetic control arms which use historic data or real-world evidence as opposed to traditional control arms. One digital health startup, UnlearnAI, is taking the idea a step further with their machine learning platform DiGenesis that builds “digital twins.” In this context, digital twins are comprehensive, longitudinal, and computationally generated clinical records that describe what would have happened if a patient had received a placebo.

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Webinars

Part 3: Innovation in Clinical Research: AI-based Drug Development Tools and the Regulatory Landscape‍

Webinars

Part 2: Faster, More Efficient Trials: Novel Trial Designs using Digital Twins‍

Webinars

Part 1: AI, Digital Twins, and the Future of Clinical Research‍

Learn about how Digital Twins are created and how they are incorporated into clinical trials to increase power, accelerate timelines, and enable patient level insights.
Watch an overview of specific use cases for Digital Twins and learn how novel trial designs with Digital Twins enable smaller trials that maintain their power.
Watch a panel discussion on the regulatory landscape where experts share perspectives on the future of AI-based drug development tools like Digital Twins.