Digital Twins for Health Consortium
Forging a leading international network in developing and applying digital twins for better health and well-being in collaboration with all the stakeholders in the healthcare spectrum.
Overview
Digital Twins for Health (DT4H) Consortium is a network of researchers and practitioners worldwide with multi-domain expertise who share a common vision and mission centered around digital twins for health and well-being.We focus on cutting-edge research on digital twins for predictive health based on multi-scale modeling of multi-modality longitudinal data in real-world and in real-time. Our research includes but not limited to the following topics:
Data Acquisition and Integration
- Multi-modal data acquisition
- Data standards and labeling for digital twins
- Data integration and curation
Multi-scale Modeling and Simulations
- Physical, mathematical, statistical, and mechanistical modeling of digital twins for health
- Modeling and simulations of time-series data
Responsible AI for Predictive Health
- AI-assisted clinical decision support
- Ethical and trustworthy AI
Smart and Connected Communities
- Innovative research to support diversity, equality, and inclusion in the new technology distribution within the community
- Collection and analysis of real-world real-time data from multiple heterogeneous sources to improve quality of life in existing communities