Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis (HORIZON-HLTH-2027-03-TOOL-04)

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.