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 considerable promise for transforming healthcare, including management and delivery, disease prediction, prevention and treatment, and health well-being maintenance, ultimately improving human lives.
Digital twins rely on big data, coupled with improved access to data science, and the 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 using digital twins in various medical applications. Their development and deployment in healthcare are still, however, in the initial stages. Developing digital twins which offer a holistic vision (rather than being disease- or organ-specific) remains a challenge.
Significant progress has, nevertheless, 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 achieve the full potential of this technology.
In this webinar, organised by EHTEL, they will explore in particular the current use of this disruptive innovation in the context of cardiovascular diseases and dementia. The webinar is also aimed to 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.
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