The Center for Individualized Medicine Grand Rounds lecture series is designed to highlight the latest in scientific discovery and innovation in translating Individualized Medicine to meet current and future patient needs.  The audience will consist of staff physicians and researchers, residents and fellows, genetic counselors, and allied health staff. Grand Rounds is scheduled the second Thursday of every month and is webcast to locations throughout the Mayo Clinic enterprise, reaching hundreds of individuals in Rochester, Minnesota; Jacksonville, Florida and Scottsdale, Arizona. 

Course objectives:

1. Describe how the rapidly evolving healthcare data environment is affecting our ability to predict patient outcomes and draw causal inferences about treatment effectiveness.
2. Explain why machine learning methods offer promise for the development of predictive analytics in personalized medicine.
3. Identify how data linkage helps us to better understand the contributions of genomics to treatment selection and patient outcomes.
4. Describe how machine intelligence (machine learning and artificial intelligence) are improving the tools available to physicians at the point of care.