Aims & Scope

This special session aims to explore the applications and potential of digital twin technology in healthcare and medicine, with a focus on personalized medicine, treatment optimization, clinical simulation, and healthcare system management, highlighting how it can support personalized, predictive, and continuously informed healthcare. It also provides a platform to discuss practical applications, emerging technologies, and cross-cutting challenges related to data quality, cybersecurity, data privacy, trustworthiness, ethics, and regulatory issues, which are key to the development and clinical adoption of digital twin technologies.

Submissions that reflect the session scope and current state of the field are welcome in areas including but not limited to:

• • Cybersecurity, Data Privacy, and Trustworthiness
• • Digital Twin Model Building: Data-Driven, Mechanistic, and Hybrid Approaches
• • Digital Twin Systems, Architectures, and Platforms
• • Digital Twin Synchronization and Dynamic Updating
• • Healthcare Data Analytics and AI
• • Generative AI (GenAI) and Explainable AI (XAI) in Digital Twin Frameworks
• • Multimodal Data Integration, Interoperability, Data Quality, and Data Value
• • Computer Vision and Extended Reality (XR) Technologies for Digital Twins
• • Personalized Medicine and Treatment Planning
• • Surgical Planning and Risk Assessment
• • Drug Development and Clinical Trials
• • Telemedicine, Remote Patient Monitoring, and Disease Management
• • Genomics and Digital Twin Integration
• • Medical Simulation and Outcome Prediction
• • Digital Twins for Medical Devices and Healthcare Systems
• • Ethical, Legal, and Regulatory Issues

Call for Presentations

Call for Presentations is now open. Researchers and industry professionals are invited to submit presentation proposals.

Please see the Call for Presentations for details. To apply, please contact Giulia.pellegrino1@unisalento.it or secretariat@idea-global.net.