This is unpublished

Leveraging Data Science and Technology to Improve Cardiometabolic Health: From Risk Prediction to Precision Prevention

September 11, 2026
Ambarish Pandey, MD
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Grand rounds objectives:

Upon completion of this program, attendees should be able to:

  • Identify the role of clinical risk scores in screening for heart failure in diabetes.
  • Identify the role of cardiac biomarkers in heart failure risk screening.
  • Understand the growing burden of heart failure in individuals with diabetes

accreditation for cardiovascular grand rounds

The University of Washington School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

The University of Washington School of Medicine designates this live activity for a maximum of 36.0 AMA PRA Category 1 Credits™. 

Physicians should claim only the credit commensurate with the extent of their participation in the activity. (Each session is 1.0 credit)

 

To request disability accommodation, contact the Office of the Disability Services Office at least ten days in advance of the event at 206-543-6450 (voice), 206-543-6452 (TTY), 206-685-7264 (FAX), dso@uw.edu

 
 

The members of the Grand Rounds Committee have no disclosures relevant to this series