Notre Dame economists William Evans and Ethan Lieber examined the prescription practices of physicians in the late 1990s and found that they had increased the frequency and extent to which they prescribed opioids for treating chronic pain, contributing to the overall increase in opioid use and subsequent overdose deaths across the country.

A research team has proposed a new framework for understanding how traditional Chinese medicine (TCM) works at the tissue level by using artificial intelligence (AI), single-cell omics, and spatial omics to decode “cell niches”—local microenvironments where multiple cell types interact. 

Multi-institutional Canadian research published in JMIR Aging maps out how individual physical, cognitive, and environmental barriers dictate whether senior-focused health tech succeeds or fails.

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.