Warwick Biomedical Engineer Leandro Pecchia featured in the Financial Times for Artificial Intelligence for fully automated diabetes kit.
Dr Leandro Pecchia, associate professor at the University of Warwick's school of engineering, hopes to use electrocardiogram (ECG) signals to track glucose levels by applying AI tools to a heartbeat scan, he can detect low blood glucose with similar accuracy to a CGM.
Researchers from the school of Engineering have created technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals.
Breakthrough in description of metals in brain which may drive the progression of Alzheimer’s disease, made by international research collaboration, including Dr Joanna Collingwood.
Nanoscale metallomics and mineralization: advanced spectromicroscopy determination of the role of iron and calcium in Alzheimer's disease.
Biomedical Engineering PhD student Elin Boger receives prestigious award from major global research-led business.
Researchers investigate hi-tech solutions to help patients get more out of their assistive technology
The researchers, led by Professor Christopher James, will use sensors, Smart Watch technology and unobtrusive ‘tattoo’ sensors, to improve the support patients receive.