Available Projects
Digital Twins for Critical Care Medicine
Digital twins are virtual representations of complex systems that mirror the real-world system over time, help analyse its behaviour, and provide predictive insights using advanced modelling, simulation and AI methodologies. Digital twins of patients will offer the potential to transform healthcare by generating mechanistic insight that can improve both patient care and the design of clinical trials.
Primary supervisor: Professor Declan Bates - Email: D.Bates@warwick.ac.uk
Project detail:
In critical care medicine, digital twins represent a highly novel and important development given the complex patient physiology and challenges of delivering clinical trials (costly, time-consuming, success rates typically < 40%). In this PhD, the student will develop new methods for the development of digital twins in Critical Care, and apply them to investigate some of the most urgent open clinical questions related to the treatment of patients with acute respiratory failure. Working closely with internationally leading clinical researchers from multiple countries, the student will apply mechanistic modelling, machine learning and AI algorithms, and advanced simulation to large-scale patient datasets, with the aim of developing better treatment strategies and improving patient outcomes.
- How to apply for admission: www.warwick.ac.uk/pgrengineering
- How to apply for a scholarship: https://warwick.ac.uk/fac/sci/eng/postgraduate/funding/
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.