The second EDITH Ecosystem Meeting in Amsterdam brought together the outcomes of extensive discussions, public consultations, and expert contributions on the VHT Roadmap. The whole community is thriving and fully engaged in realizing the VHT for better health and care for all citizens in Europe and beyond.
The second EDITH Ecosystem meeting, held in Amsterdam on 15-16th July 2024, consolidated the results of a wide range of discussions, public consultations and expert inputs to capture additional comments, questions and inputs defined from the entire ecosystem. Moreover, it informed the ecosystem of progress made on the Virtual Human Twin (VHT) roadmap and proof-of-concept EDITH infrastructure, to obtain input on the last open elements in the VHT roadmap and to start the process of ecosystem validation for the VHT roadmap and its final recommendations.
The event not only moved towards the conclusion of the work performed by the EDITH consortium, expert advisors and the entire ecosystem, but it was also a great chance to dive into many key topics surrounding the VHT and its stakeholders with various fruitful breakout sessions like "Digital Health Economics", "Standards", "Europe-Americas-Asia/Pacific collaboration" and more.
VPHi experts held a session on the pivotal role of Stakeholder Engagement & Communication in the in silico medicine field, showcasing the main activities conducted in the In Silico World project and highlighting the key action points we need to take to effectively involve all the actors of the ecosystem.
After the Ecosystem meeting, our Director Prof. Liesbet Geris and our science communicator Davide Montesarchio led "The Twin Within: Revolutionizing Healthcare", an interactive public session on the potential of Virtual Human Twins, explaining what technologies are behind them, which are the benefits of personalized health and care, and what ethical and social issues do they raise.
The Virtual Human Twin (VHT) comprehensively represents human physiology and pathology, spanning multiple levels, timescales, and disciplines. Developed through collaborative distributed knowledge and resource platforms, the VHT aims to accelerate the creation, integration, and use of patient-specific predictive computer models. These models will serve as clinical decision support systems for personal health forecasting and as methods for developing and mitigating risks in personalized medical products.
EDITH's goal is to realize the potential of VHTs for patients, healthcare providers, regulators, industry, and other stakeholders globally. To achieve this, EDITH is creating a roadmap for an integrated VHT, identifying research challenges, infrastructure needs, and policy recommendations. It addresses interoperability, computability, and health information integration, developing strategies for clinical deployment and adoption of VHT models in personalized care
Discover more about EDITH here
