Transforming Health and Healthcare
Transforming Health and Healthcare is at the forefront of a transformative field at the intersection of cutting-edge technology and biomedical applications. This exciting journey of discovery takes place in state-of-the-art facilities, utilizes extensive medical datasets, and thrives on collaborations with leading experts in computer science, engineering and life sciences. Â
The Computing Technologies for Healthcare at the School of Computing Science brings together research groups and communities with expertise in a range of topics that include Computational Biology, Artificial Intelligence for Biomedical and Imaging Applications, Cancer Image Analysis and Affective Computing.Â
The University of Glasgow currently has the largest EPSRC Healthcare Technologies grant portfolio in the UK and it provides one of the best research environments to undertake research on sensing, imaging and Artificial Intelligence for biomedical applications. The Communication, Sensing and Imaging Group pioneers innovative wireless technologies that enable activity recognition and vital signs monitoring. The Imaging Centre of Excellence offers state-of-the-art 7T MRI scans, which provide exceptionally high-resolution images of the human body, making them truly special in the field of medical imaging. The centre brings together academics, clinicians and industry experts.   Â
Imagine a future where advanced algorithms and sensors enhance rehabilitation, revolutionize sports medicine, enable early diagnosis and effective prevention of diseases. Our technologies push the boundaries in technologies for healthcare. From developing AI-driven clinical decision support systems that augment medical expertise to creating cutting-edge medical imaging technologies that unveil new dimensions of diagnostic precision, our multidisciplinary approach is reshaping the healthcare landscape. We’re not just improving existing processes; we’re inventing new methods and strategies that will redefine medical science and patient care.
As we harness the power of artificial intelligence in healthcare, we remain committed to addressing critical ethical considerations. Our focus on the ethics of AI ensures responsible and equitable technological advancement, safeguarding patient privacy and promoting fair access to these groundbreaking innovations.
Related Areas: Neurotechnologies.
Supervisors working in this field
Dr Ahmad Taha
Lecturer in Cyber-Physical Systems
Prof Aleksandra Vuckovic
Professor of Neurotechnology and Rehabilitation Engineering
Prof Ana Garcia Lecuona
Professor of Mathematics
Dr Andrew Feeney
Senior Lecturer in Mechanical Engineering
Dr Bernhard Schmidt
Lecturer
Dr Caroline Muellenbroich
Senior Lecturer in biophotonics
Dr Debasis Ganguly
Lecturer in Data Science
Dr Andrew (Drew) Thomson
Lecturer in Chemical Biology
Dr Edmond S. L Ho
Senior Lecturer in Machine Learning
Dr Ilyena Hirskyj-Douglas
Lecture of Computer Science
Dr Iraklis Klampanos
Senior Lecturer of Data Systems and Data Engineering
Dr Joëlle Prunet
Senior Lecturer
Dr Johannes Courtial
Senior Lecturer in Physics
Dr Julien Le Kernec
Senior Lecturer
Dr Linus Ericsson
Lecturer in Artificial Intelligence/Machine Learning
Dr Mark Scullion
Lecturer in Electronic and Photonic Devices
Dr Marwa Mahmoud
Senior Lecturer in Socially Intelligent Technologies
Prof Massimo Vassalli
Professor of Bioengineering
Prof Mohamed Khamis
Professor of Human-Computer Interaction
Prof Radostin Simitev
Professor of Applied Mathematics
Dr Richard Bowman
URF & Reader in Optics
Professor Ross Forgan
Professor of Supramolecular and Materials Chemistry
Dr Sam Bayliss
Lecturer in Quantum Engineering
Professor Vihar Petkov Georgiev
Professor of Nanoelectronics