Pre-clinical disease modelling aids understanding of how the disease develops and can test potential diagnostic and treatment approaches. It can also predict outcomes for surgical patients much earlier in the care pathway. Models use basic assumptions combined with mathematics to find specific characteristics of various diseases and can then use those characteristics to estimate the effects of different interventions. This theme includes collaboration with Engineers and Physicists to use novel techniques and materials to provide early human and patient data that can feed data into planning of large clinical trials of new technologies. Research areas focus on prosthetics for upper limb amputations, computer simulation of major road traffic accidents and the use of invisible light to reveal early-stage cancer.
Below details studies which are part of the disease modelling theme.