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.
The Hong Kong University of Science and Technology (HKUST) today launched SmartPath, a comprehensive artificial intelligence (AI) system designed to transform the entire pathology workflow for cancer care.
Doctors and researchers at the University of Pittsburgh and UPMC have developed a new treatment for epilepsy patients who don’t respond to medication and aren’t candidates for surgery. Their approach, published in Nature Communications, uses deep brain stimulation (DBS) that is tailored to each patient’s unique brain wiring.
After being treated with an electronic eye implant paired with augmented-reality glasses, people with sight loss have recovered reading vision, reports a trial involving a UCL (University College London) and Moorfields Eye Hospital clinical researcher.
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.
The technique sounds so outlandish that it won an IgNobel prize in 2024. But the science behind rescuing people with blocked airways and clogged lungs by rectally delivering oxygen to the body is no joke.
DENTON, Texas, Oct. 20, 2025 /PRNewswire/ — ManaMed today announced FDA 510(k) clearance for PlasmaFlow® X, the next-generation, tubeless sequential compression system that’s redefining recovery. Cleared as a Class II device, PlasmaFlow X is more compact, smarter, and longer-lasting—delivering powerful therapy in a sleek, portable package.
Enabled by a new high-resolution mapping technique, the findings overturn a long-held belief that the genome loses its 3D structure when cells divide.
In addition to linguistic prompts, large language models can also understand, interpret, and adapt their responses to heart frequency data. Dr. Morris Gellisch, previously of Ruhr University Bochum, Germany, and now at University of Zurich, Switzerland, and Boris Burr from Ruhr University Bochum have developed a technical interface through which the physiological data can be transmitted to the language model in real time.
Researchers from Edith Cowan University (ECU) have developed an innovative new way to measure biological age, which could make it easier to detect and track age-related conditions.