Digital twin in medical or sports context

Overview

Digital twins are virtual models of physical systems that use real-time data to mirror, simulate, and analyse behaviour. In medical and sports domains, they offer exciting opportunities for innovation.

This project focuses on exploring these applications and aims to create digital twins to better understand and improve outcomes in these rapidly evolving fields.

Research activities

You will begin with a thorough review of existing digital twin technologies and their applications in medical and sports domains. This includes analysing current:

• frameworks
• tools
• case studies.

Based on this understanding, they will then work on adapting an existing approach or developing a new one from scratch, involving:

• data modelling
• simulation
• possible integration with real-time or synthetic data sources.

The project encourages creativity, problem-solving, and iterative design, offering hands-on experience with cutting-edge concepts and technologies.

Outcomes

The project aims to develop a functional digital twin model for medical or sports use. Expected outcomes include:

• a deeper understanding of existing approaches
• a prototype system
• insights into potential applications.

If novel, the work may lead to research publications or further development opportunities.

Skills and experience

You should have basic knowledge of machine Learning (ML) and have knowledge of working with Python and ML frameworks.

Knowledge of tools like Nvidia Omniverse is a plus.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

• digital twin
• medical and sports simulation

Contact

Contact the supervisor for more information.