Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis

Expected Outcome:

This topic aims at supporting activities that are enabling or contributing to one or several expected impacts of destination “Developing and using new tools, technologies and digital solutions for a healthy society”. To that end, proposals under this topic should aim to deliver results that are directed at, tailored towards and contributing to all the following expected outcomes:

• Healthcare professionals have access to multi-scale[1], multi-organ models of individual patients that aim to improve prevention and diagnosis in high disease burden areas.
• Health professionals benefit from enhanced knowledge of complex diseases and co-morbidities by recourse to multi-scale, multi-organ models.
• Patients with diverse characteristics (e.g. of any sex, age group, racial or ethnic origin[2]) benefit from improved, integrated and personalised prevention and diagnostics tools.
• Health professionals and patients benefit from the use of “Virtual Human Twin” (VHT) models which enable integration of other preventive and diagnostic tools and modalities.

Scope:

VHTs are digital representations and in-silico models of an individual’s health and disease state at different levels of anatomy. Multi-scale, multi-organ VHT solutions have a potential for tailored prevention and diagnosis, particularly in areas of high disease burden, and can significantly benefit citizens' health and the efficiency of EU health systems.

Trimmed here, the full scope, expected outcomes and award criteria are on the official topic page ↗.