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Watch a compelling hour-long ACM talk where Duke University researcher and ACM Prize recipient Amanda Randles explores the revolutionary potential of vascular digital twins in healthcare transformation. Discover how the Longitudinal Hemodynamic Mapping Framework (LHMF) leverages high-performance computing to enable continuous, long-term hemodynamic analysis, simulating millions of heartbeats with remarkable accuracy. Learn about the integration of wearable technology data with digital twin models, the application of virtual reality for enhanced clinician interaction, and the challenges of implementing these sophisticated systems in clinical settings. Gain insights into how this groundbreaking technology is enabling a shift from reactive to proactive patient care through noninvasive diagnosis and personalized treatment planning, with demonstrations of deployment across traditional and cloud-based platforms.
