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

Innovation in trial design doesn’t have to involve increased risk or resources. Through the use of powerful computational models and rigorous statistical approaches, Digital Twins can increase the confidence of the results and reduce sample size. Join Unlearn Founders Charles Fisher, CEO, and Jonathan Walsh, Head of Data Science, as they walk through novel trial designs incorporating Digital Twins. They will demonstrate how and why adding Digital Twins to trial protocols can increase the likelihood of technical success and accelerate the clinical research process. In this webinar, you will learn about:  

  • How Digital Twins can recover or increase the power of a trial 
  • How Digital Twins can reduce the number of patients needed to enroll in a trial
  • Applying statistical analyses within FDA guidance

THIS WEBINAR IS PART #1 OF Powering Clinical Research with AI 

Clinical trials are critical for developing new treatments, but face chronic challenges, such as optimal trial design, enrollment, costs, timeline delays, and high failure rates. The gold standard of trial design is randomization, but it is not always ethical or feasible to set up a trial where the control group receives a standard of care or a placebo. Leveraging historical data sets and novel machine learning methods, Digital Twins, or statistically indistinguishable virtual placebo patients, can be generated to match actual patients in clinical studies. Adding external control arms populated with Digital Twins, called Intelligent Control Arms, can streamline clinical trials, increase power, and decrease enrollment, without adding regulatory risk. The FDA has expressed support for innovation in trial design and alternative forms of evidence - Digital Twins are the next frontier for modern trials.

In this 3 part webinar series, you will learn about: 

  • AI and Machine Learning 
  • Digital Twins, what they are and how they are created 
  • Specific use cases for Digital Twins 
  • Trial designs and statistical approaches to increase power and accelerate timelines 
  • The regulatory landscape and support behind solutions like Digital Twins

Who should attend? 

  • Biostatisticians and statisticians 
  • Business Development/Partnerships
  • Commercial Teams Data Science Medical Directors
  • Principal Investigators
  • Clinical Research Leads
  • Regulatory Affairs

Enter your email address to download paper.

Click the link to begin download.
Oops! Something went wrong while submitting the form.

Enter your email address to watch the webinar.

Click the link to watch webinar.
Oops! Something went wrong while submitting the form.
Webinars

Why can’t we agree on how to define digital twins in healthcare?

White Papers

Summary of the EMA September 2022 Qualification Opinion for PROCOVA™

Press

Charles Fisher, Unlearn.AI: “now is the time to adopt AI-based solutions”

The potential for AI implementation in healthcare can barely be measured, as it can already do what humans do, just countless times better and more efficiently.
The European Medicines Agency has qualified Unlearn’s AI-powered method for running smaller, faster clinical trials.
Digital twins seem to be everywhere in healthcare now, but no one agrees on a single definition for them.