Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on ...

Lessons learned from developing an inferential model for predicting food insecurity yield essential insights and actionable ...

Background Tobacco use remains a global public health challenge, leading to over 8 million annual deaths and significant ...

Objectives To examine the associations between migration experiences during different life stages and long-term health ...

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

Objective Patients with SLE have increased risk of both clinical cardiovascular disease (CVD) and subclinical atherosclerosis ...