Research published in JMIR Aging challenges tech stereotypes, showing that custom-built tablet food records are highly feasible and usable for older adults undergoing inpatient rehabilitation.

A research team at The Hong Kong Polytechnic University (PolyU) has successfully developed Hong Kong’s first “AI Agent for Precision Diabetes Management – PIPE-AI” (AI Agent), designed specifically for Asian populations, together with a related disease risk prediction model. Leveraging artificial intelligence (AI) and large-scale local electronic health data, the system can more accurately predict the risk of deterioration of complications such as chronic kidney disease in patients with type 2 diabetes over the next 10 years, enabling healthcare professionals and patients to intervene early and improve disease management. The research findings have been published in the leading international journal npj Digital Medicine.

A study conducted by the INCLIVA Health Research Institute, the Clinical University Hospital of València, the University of Valencia (UV), the Universitat Politècnica de València (UPV), the Cardiac Imaging Unit of Ascires Biomédico Group, and the Ascires-UPV Joint Research Unit provides significant evidence in the field of advanced cardiac imaging and clinical cardiology. It shows that the damage resulting from a myocardial infarction is not confined solely to the affected area, but may also functionally extend to remote regions of the ventricle. Identifying this dysfunction could have important implications, including improved prognostic assessment of patients, earlier detection of cardiac deterioration before symptoms or more evident changes appear, and the implementation of earlier and more personalised therapeutic strategies.

Spending less time in an office and more time in the great outdoors with animals can benefit patients and therapists alike.