Funds multidisciplinary research to develop and clinically validate advanced Virtual Human Twin models for improved disease prevention and diagnosis.
Supports AI-driven development and clinical validation of predictive biomarkers for chronic non-communicable diseases using integrated clinical and real-world data.
NIH Challenges funds digital twin and synthetic data modeling research to advance whole-person health and reduce chronic disease disparities through integrated, AI-ready computational platforms.
This grant funds research to develop VR/AR and digital twin-based training systems for improving cross-border disaster preparedness and coordination among EU emergency responders.
Funds early-stage clinical trials and research to develop and test innovative, multidisciplinary interventions for neurodegenerative diseases, emphasizing technology, data integration, and stakeholder engagement.
This grant funds a pan-European effort to coordinate multidisciplinary research and development of advanced AI models for safe and impactful healthcare applications, aiming toward Artificial General Intelligence.