Latest AI and machine learning research in public health & policy for healthcare professionals.
Leishmaniasis, a climate-sensitive zoonotic neglected tropical disease, is transmitted by Phlebotomi...
Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...
Effective pandemic response requires accurate modeling of population compliance with non-pharmaceuti...
Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal...
Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside camer...
Transmissible hospital-acquired infections (HAIs) arise from complex, time-varying interactions amon...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...
High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persist...
Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiol...
Background. Dengue has been a major health threat globally in recent years. In particular, dengue in...
Transformer models enable functionally meaningful representation of complex biological data, such as...
Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...
Background: The rapid expansion of medical literature has led to substantial variability and frequen...
Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of interna...
Forecasting infectious disease incidence can provide important information to guide public health pl...
Background Although Kenya's HIV programme has long prioritized high-burden counties for intensified ...
Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...
Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotion...
Background Depressive symptoms among reproductive-aged women represent a major public health concern...
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets...
There is no consensus in the field of synthetic data on concise metrics for quality evaluations or b...