Latest AI and machine learning research in public health for healthcare professionals.
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...
Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompas...
Background. Dengue has been a major health threat globally in recent years. In particular, dengue in...
The emergence of unidentified pathogens, or "Disease X," poses a significant threat to global health...
Vaccine strain selection for seasonal influenza A(H3N2) depends on knowing which hemagglutinin (HA) ...
Transformer models enable functionally meaningful representation of complex biological data, such as...
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 Depressive symptoms among reproductive-aged women represent a major public health concern...
There is no consensus in the field of synthetic data on concise metrics for quality evaluations or b...
This study evaluates the feasibility of implementing artificial intelligence (AI)-driven disease sur...
Computer-aided detection (CADe) of early neoplasia in Barrett's esophagus is a low-prevalence survei...
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthori...
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine deliver...
Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillanc...
We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style ima...
Extracting vehicle information from surveillance images is essential for intelligent transportation ...
Deep learning models utilizing longitudinal healthcare data have significantly advanced epidemiologi...