Measuring blood flow in the brain is critical for responding to a range of neurological problems, including stroke, traumatic brain injury (TBI) and vascular dementia. But existing techniques, including magnetic resonance imaging and computed tomography, are expensive and therefore not widely available.

A research team led by Professor Uichin Lee from the School of Computing has demonstrated the possibility of accurately tracking an individual’s mental health status using in-home Internet of Things (IoT) sensor data. The study is published in the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies.

A wireless retinal implant can restore central vision in patients with advanced age-related macular degeneration (AMD), according to clinical trial results published in the New England Journal of Medicine.