Data Analytics Research and Technology in Healthcare
(DARTH group)
DARTH group mission
Ever-increasing healthcare provision demands strain national health systems globally, which struggle to meet patients' needs. There is a growing unmet clinical need to develop accurate, robust, practical decision support tools to facilitate diagnosis, assessment, and symptom monitoring to improve patient health and care.
We are a dynamic research group based at the Usher Institute, Edinburgh Medical School, University of Edinburgh working at the interface of engineering, mathematics, informatics, and medicine. We passionately believe we can design and provide effective solutions which will revolutionize contemporary healthcare delivery through capitalizing technology and harnessing data.
We develop and apply signal processing and statistical machine learning algorithms to explore data and decipher complicated concealed statistical relationships. Our algorithms are directly driven by and validated on complicated real-world problems, aiming to facilitate interpretation of the underlying key mechanisms of the modelled system. Our work is inherently multi-disciplinary and we collaborate with industrial partners and researchers worldwide. We tackle challenging problems in healthcare domains from neurodegenerative disorders and mental health, to asthma, cardiovascular disease, and neonatal monitoring.
Currently highlighting
PhD position in the new CDT in AI for Biomedical Innovation (AI4BI)
We have an exciting PhD as part the new CDT AI4BI - the project focuses on data analytics (multimodal signal processing and machine learning) to provide novel insights into endometriosis -- check it here. If you are interested, you will need to apply formally to the CDT programme and indicate this project as your top choice. Very happy to be approached in advance by interested candidates, particularly if your background is in Engineering/Maths/Physics/Computer Science and have strong programming skills.