“Digital Twins in Healthcare: Using Advanced Modeling to Shift from Reactive to Proactive Care”

Seminar Abstract: In healthcare, the emergence of digital twin technology marks a transformative step towards proactive medical care. Digital twins, which are detailed virtual models of individual human physiological systems, are reshaping how medical professionals predict, diagnose, and treat various health conditions. This talk will focus on the specific application of these models in creating personalized simulations of the vascular system. These simulations allow for the precise analysis of blood flow and the noninvasive assessment of vascular diseases such as stenosis, offering a significant leap in both diagnostics and pre-surgical planning. Despite their potential, the integration of digital twins into everyday medical practice presents several challenges, including the management of extensive data sets, the need for rapid processing capabilities, and substantial computational resources. I will discuss how leveraging high performance computing can address these challenges, enhancing the accuracy and practical utility of digital twins in clinical settings. Additionally, the talk will touch upon the synergy between continuous data from wearable technologies and digital twins, and how virtual reality can further refine the interaction between clinicians and these complex models. I will highlight the promising future of digital twins in advancing a shift from reactive to proactive medical care, ensuring better patient outcomes through advanced computational and digital health innovation.