Atul Butte is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and Director of the Bakar Computational Health Sciences Institute at UCSF, and is also the Chief Data Scientist for the entire University of California Health System, the tenth largest by revenue in the United States, with 20 health professional schools, 6 academic health centers, and 10 hospitals. Dr. Butte is an inventor on 24 patents and has authored over 200 publications, with research repeatedly featured in the New York Times and Wall Street Journal. Dr. Butte was elected into the National Academy of Medicine in 2015, and was recognized by the Obama Administration as a White House Champion of Change in Open Science in 2013. Dr. Butte is also a co-founder of Personalis (IPO, 2019), providing medical genome sequencing services, Carmenta (acquired by Progenity, 2015), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs using AI.
Track Chair: - Courtney McFall, UCSF
- Ben Rubin, UCSF
Patient-centric data – Real-World Evidence (RWE) and Real-World Data (RWD) - is becoming instrumental in the drug development process and for health care decisions in general. This data is not only informative for the process from discovery to new indications, clinical trial design, and drug development, it also can be of value to monitor post-marketing drug safety and for decision support in clinical practice. As the data becomes a decision driver, science companies and medical organizations are increasingly focused on leveraging RWD and RWE to not only better understand the patient populations using their drugs and the respective outcomes, but also to accelerate clinical decision support. This session will focus on the various aspects of integrating RWE and RWD to support drug development and clinical decision support.