1. Explain why clinical risk scores primarily capture exposure patterns rather than underlying vascular biology, and discuss the implications of this limitation for precision risk prediction.
  2. Describe how biomarkers enhance mechanistic resolution of vascular disease, while recognizing their temporal variability and context-dependent limitations.
  3. Discuss how genetic risk stratification captures lifelong vascular susceptibility, and distinguish this from dynamic or trigger-based risk processes.
  4. Analyze how artificial intelligence improves predictive discrimination by integrating nonlinear and multidimensional interactions across clinical and biological data layers.
  5. Articulate how the digital twin paradigm enables trajectory-based, personalized simulation of vascular disease, moving beyond static risk estimation toward dynamic precision modeling.
Session date: 
03/10/2026 - 8:00am to 9:00am CDT
Location: 
Endeavor Health - Glenbrook Hospital
2100 Pfingsten Rd
Cardiovascular Institute Building, 2nd Floor, Conference Room #2843 (Take Elevator I)
Glenview, IL 60026
United States
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation
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Speaker Name: 
Alfonso Tafur, MD MS MBA