Driving Real-World Clinical Research with Synthetic Data
Webinar Details
Featuring:
Dr. Randi Foraker
Dr. Jacob Greenberg
Washington University in St. Louis
Hear from two leading researchers from the Institute for Informatics (I2) at Washington University School of Medicine in St Louis, and hosted by Dr. Jon D. Morrow, MDClone's Senior Vice President and Physician Executive, as they describe synthetic data and discuss two pivotal studies validating its use.
Study #1: Dr. Randi Foraker - Using MDClone, Dr. Foraker studied 30-day mortality among heart failure patients, applying machine and deep learning approaches to these data to compare analytic tools and techniques.
Study #2: Dr. Jacob Greenberg - Utilizing synthetic data to study 30-day readmission after spine fusion surgery, comparing both descriptive data and predictive models to real patient data to validate the performance of the MDClone platform.
What is Synthetic Data?
Synthetic data may provide a solution to researchers who wish to generate and share data in support of precision healthcare. Recent advances in data synthesis enable the creation and analysis of synthetic derivatives as if they were the original data; this process has significant advantages over data deidentification.