webinar
Digital twins are precise digital replicas of physical entities such as patients, medical devices, or biological systems. These digital models are continuously updated with real-time data and can simulate various processes, predict outcomes, and support decision-making in healthcare. Digital twins hold significant promise for transforming healthcare, including management and delivery, disease prediction, prevention and treatment, and health well-being maintenance, ultimately improving human life.
Digital Twins rely on big data coupled to improved access to data science and development of Artificial Intelligence (AI) and Machine Learning (ML). Many healthcare institutions are conducting proof-of-concept studies to explore the potential benefits and feasibility of digital twins in various medical applications but their development and deployment in healthcare are still in the nascent stages. Developing Digital Twins which offer a holistic vision (rather than disease or organ specific) remains challenging.
Significant progress has however been achieved in relationship to Personalized Medicine to predict disease progression and optimize treatment plans, optimisation of the use of medical equipment and planning and simulation of sensitive practices such as surgical procedures.
Continued research, technological advancements, and collaborative efforts are essential to fully realize the potential of this technology.
In this webinar, we will explore in particular the current use of this disruptive innovation in the context of cardiovascular diseases and dementia. We will also understand the key actions supported by the European Commission in the context of the European Virtual Human Twins Initiative, which aims to advance the emergence and adoption of the next generation of virtual human twins solutions in health and care.
Speakers
- Margherita FANOS, Policy Officer, European Comission: The EU strategic viewpoint
- Frank RADEMAKERS, former CMO & CMTO UZ KU Leuven: The clinician viewpoint
- Frank EMMERT, Heading the Predictive Society and Data Analytics Lab, Tampere University: The researcher viewpoint
- Stelios KOKKAS, Artificial Intelligence Researcher, CERTH: The developer viewpoint
- Enzo FABIANI, Project manager of the Cooperation and Support Action EDITH on Digital Twins in Healthcare: Pathways for increased collaboration of the value chain.
This webinar is organised by EHTEL in collaboration with COMFORTage.
