Medical Resources


EP1: We are working towards developing a clinical report pipeline aimed at improving diagnosis for the Pulmonary hypertension CTEPH group. The pipeline will provide:

  1. New methods and figures display cardiopulmonary modelling and imaging outputs
    1. Three dimensional visualisation of perfusion models of the lung
    2. Extent of distal remodelling
    3. Potential prediction of pulmonary endarterectomy surgical outcomes
  2. Novel combination of cardiopulmonary biomarkers


EP2: Our goal is to create a personalised approach for the diagnosis and treatment of upper limb disorders. This approach will utilise computational models, wearable sensors, and robotic devices for quantification and monitoring. Our team will use biomechanical simulation and machine learning classification to quantify movement patterns to ultimately assist in clinical decision-making and personalising treatment plans. Patient specific anatomical models of the upper limb are paramount to accurate biomechanical analyses. We will use low cost imaging and motion measurements together with machine learning methods to rapidly generate such models. These models will be integrated into an open-source musculoskeletal platform to perform dynamic assessment of motion and forces. This musculoskeletal platform will enable orthopaedic surgeons to perform virtual surgeries and aid in the surgery planning process. In the future, the project will focus on wearable sensors and digital musculoskeletal twins for home-based monitoring.


P3: We have developed a range of technologies that provide a platform to enable small, deeply implanted medical devices.

  1. Encapsulation methods to manufacture biocompatible, hermetic, long term packaging for small implants.
  2. Wireless power methods and models to safely provide power deep within the body.
  3. Wireless data transfer techniques to send physiological measurements out from deep within the body.
  4. Methods to combine and miniaturise electronics allowing tiny implantable devices to be manufactured.
These technologies have been demonstrated in our implantable pressure sensor and could be extended to a wide range of other measurement and stimulation implants.



EP3: We are using various research approaches to understanding the structure and function of smooth muscle in the gastrointestinal tract and uterus. These approaches include:

  1. Experimental measurement of smooth muscle function, including electrophysiology and mechanical activation in the stomach and uterus
  2. Mathematical modelling of uterine smooth muscle cells:
    1. Individual cell models encapsulating responses to hormonal stimuli such as oxytocin or electrical activity.
    2. Integration of smooth muscle cells with other cell types into tissue models. The uterus exhibits complex electrical activity triggered by unknown mechanisms that may be related to passive – non-excitable – cells surrounding the contractile smooth muscle cells.
We are also developing multicellular mathematical models of endometriosis, to try and understand the factors involved in the onset of the disease.