Insights from leading experts on advancing scientific innovation through the collaborative development of Virtual Humans.
How are Virtual Humans advancing scientific research and strengthening translational medicine?
Interview 5: Co-designing Virtual Humans and the role of Europe in this scientific innovation – Jean-Sébastien Hulot at VHGS II
Jean-Sébastien Hulot explains how cardiovascular digital twins are enabling more precise diagnostics and improving translational research. He highlights that we need to create a shared language that enables engineers, clinicians, and scientists to co-design digital twins that are both scientifically robust and clinically relevant.
💊 “We need to create a shared language that enables engineers, clinicians, and scientists to co-design digital twins that are both scientifically robust and clinically relevant”
Interview 6: Multidisciplinary innovation in Virtual Humans and digital health – Oscar Camara (UPF) at VHGS II
Oscar Camara (Universitat Pompeu Fabra) shares how multidisciplinary collaboration is key to drive scientific innovation in biomedical modeling and Virtual Human technologies. Drawing on Barcelona’s growing digital health ecosystem, he explains how initiatives such as forums, or events like VHGS II, can accelerate knowledge exchange between academia, industry, and clinical practice, helping to intergate these advanced technolgies, into real clinical solutions.
💊“We need forums where clinicians and engineers can work together, learning how to communicate with each other and understand the interests and objectives of everyone involved.”
Interview 7: Global Initiatives accelerating the adoption of Virtual Humans – Mariano Vazquez (CTO & CSO, ELEM Biotech) at VHGS II
Mariano Vazquez explains how governments in Europe, the US, China, and Japan are making significant investments in High-Performance Computing (HPC) systems to support the development of Virtual Human Twins. These investments aim to provide both public and private sectors with the computational power needed for large-scale simulations, accelerating innovation while keeping costs manageable.
In Europe, initiatives like the multi-million euro “AI factories” are helping companies (especially in the virtual human domain) develop AI-based tools efficiently. Alongside government funding, commercial cloud providers are adapting their business models to better meet the computational and data-handling needs of hospitals and researchers.
Together, these strategies are making Virtual Human technology increasingly cost-effective, scalable, and environmentally sustainable.
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