Latest AI and machine learning research in public health & policy for healthcare professionals.
Aligning the Theory of Mind (ToM) capabilities of Large Language Models (LLMs) with human cognitive ...
In the light of the COVID-19 pandemic many countries are trying to widen their pandemic planning fro...
Artificial intelligence (AI) is transforming precision medicine, particularly in cardiovascular dise...
Guidance is lacking on choice of first-line antipsychotic for individuals with incident severe menta...
Patient metadata exist in published articles, but are often dis-connected from genome sequences in d...
Mortality is a critical variable in healthcare research, especially for evaluating medical product s...
Measles is a highly contagious viral disease associated with a variety of severe complications. Sinc...
Tumor necrosis factor inhibitors (TNFi) are widely used for auto-immune conditions. Despite their ef...
Prior authorization (PA) rules are neither regulated nor standardized. To quantify the variation in ...
Influenza-like illness (ILI) continues to present significant challenges to global health, highlight...
Merkel cell carcinoma (MCC) is a rare cutaneous neuroendocrine malignancy with a higher case-fatalit...
The persistnt resurgence of influence and influenza-like illness despite concerted vaccination inter...
Malaria remains a leading cause of morbidity and mortality worldwide, with sub-Saharan Africa bearin...
Nowcasting methods are crucial in infectious disease surveillance, as reporting delays often lead to...
This study compared machine-learning models for predicting recurrence-free survival (RFS), disease-s...
Fluoroquinolones, while clinically indispensable, carry underappreciated cardiovascular risks, parti...
Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. I...
Allostatic load refers to the cumulative burden of stress and life events that involve the interacti...
Detecting infectious disease outbreaks promptly is crucial for effective public health responses, mi...
Multimorbidity, the co-occurrence of multiple chronic conditions in an individual, has become a glob...
Assessing the risk of future atherosclerotic cardiovascular disease (ASCVD) is crucial in clinical p...