Successful Clinical Trial Feasibility and Design in Near Real Time: Using AI-enabled Precision Matching Technologies to Ensure Accurate Patient Populations at Cedars-Sinai

Decisions around the patient population and feasibility are crucial to successful patient recruitment and therefore a clinical trial, but often rely on limited data and guesstimates. Access to live, actionable data from health records about the true patient population that matches the protocol criteria can provide confidence that a study is a good fit for a healthcare facility and its patients. 

In this webinar, the speakers demonstrated how trial feasibility and study success are facilitated using AI-enabled analysis of structured and unstructured patient data in real time.

Learn how to:

  • Dedicate your time and money to studies with a high probability of success
  • Optimize allocation of your clinical trial resources
  • Increase study productivity by undertaking the most appropriate trials for your patient population

Speakers:
BJ Rimel, MD, Assistant Professor, Cedars-Sinai
Shabnam Shademan, Ph.D., Director of Product Management, Deep 6 AI
Allison Tyler, Clinical Application Specialist, Deep 6 AI