Using convolutional neural networks to classify ALS patient brain images and identify biomarkers for early diagnosis and personalised treatment.
Exploring machine learning models to detect subtle motor patterns from accelerometer data for earlier and more accurate diagnosis of Parkinson's disease.
A year-long project based in the UK Young Academy with the question, “What would it take to change the underrepresentation of pregnant people in medical research?”
A one-year project aiming to take the first steps in incorporating inclusive and accessible practises in ocean literacy into the UK Secondary school curricula.
A school engagement project working on the co-design and building of sustainable robots with local schools in Edinburgh, West Lothian and Falkirk.
Developed state-of-the-art deep learning methods for fluorescence lifetime and retinal imaging in collaboration with Optos, enhancing early detection of neurodegenerative diseases.
An EMERGENCE Network+ grant allows us to ask the question, can a robot help with hydration in a Care Home? The project consisted of three co-design workshops conducted with the residents, their families and staff at the Viewpoint Care home in Edinburgh as well as a robotic deployment of the RoboBrico Hydration platform..