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Cardiovascular Digital Twins: From Bench to Bedside

In silico technologies have greatly evolved in the last decades, and application to real cases is nowadays possible. The idea of developing methodological and technological approaches toward the definition of personalized digital twins to monitor citizen health status or to predict responses to therapeutic actions has been proven.

Cardiovascular diseases have been studied using in silico methodology, one of the first examples, either from a fluid dynamic or a structural point of view. The treatment of pathologies of the aortic valve and thoracic aorta, easy to translate to the majority of the mini-invasive treatments of cardiovascular pathologies where an implantable device is used, will be illustrated. The results of computer simulations can guide clinicians in the correct device choice and surgical approach. A key point of this process is the rigorous verification and validation step before applying results to the clinical practice.

In the future, computer models will be more sophisticated, complex, and detailed; however, thorough validation and the identification of patient-specific properties and characteristics will always be necessary. Personalized simulations as a pre-planning tool will be easier and more widely used by clinicians, patients’ communities, and industrial players.

June 24, 2025 | 11:00 AM EDT

Venue:
Virtual

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About this Event

In recent decades, in silico technologies have evolved significantly, enabling real-world applications like personalized digital twins for monitoring health and predicting therapy responses. Cardiovascular diseases, particularly those involving the aortic valve and thoracic aorta, are prime examples of how in silico methods, including fluid dynamics and structural analysis, are applied. These simulations help clinicians select the best devices and surgical approaches for mini-invasive treatments.

However, rigorous verification and validation of simulation results are essential before clinical application. As computer models become more complex and detailed, thorough validation and identification of patient-specific characteristics will remain critical. Personalized pre-planning tools will soon become more accessible, benefiting clinicians, patients, and industry players.

What you will learn 

  • How to build a detailed digital twin for cardiovascular application
  • Importance of validation for in silico models
  • In silico, patient-specific models are ready to be used in clinical practice