Latest AI and machine learning research in public health for healthcare professionals.
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), are persistent organic pollutants ubiquitous in the environment. Epidemiological evidence has closely linked them to an elevated risk of prostate cancer (PCa). However, the precise molecular mechanisms by which combined PFOS/PFOA exposure promotes prostate cancer...
High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persistent discordance between mainstream platforms (SomaScan and Olink) routinely undermines the replication of findings. This platform-driven non-replication complicates downstream biological validation and biomarker prioritization. Here, we develop a machine learning-based framework for cross-platform p...
Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiological parameters from time-scaled pathogen phylog...
Treponema pallidum ssp. pallidum, the causative agent of syphilis, has a small proteome and encompasses numerous strains. Knowledge gaps remain in und...
Background. Dengue has been a major health threat globally in recent years. In particular, dengue incidences continue to increase annually and the epi...
The emergence of unidentified pathogens, or "Disease X," poses a significant threat to global health, necessitating the development of proactive surve...
Vaccine strain selection for seasonal influenza A(H3N2) depends on knowing which hemagglutinin (HA) substitutions are most likely to erode neutralizin...
Transformer models enable functionally meaningful representation of complex biological data, such as nucleotide or protein sequences. Existing foundat...
Background: The rapid expansion of medical literature has led to substantial variability and frequent contradictions in study findings, making it incr...
Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of international concern due to global spread of mpox viruse...
Forecasting infectious disease incidence can provide important information to guide public health planning, yet is difficult because epidemic dynamics...
Background Although Kenya's HIV programme has long prioritized high-burden counties for intensified paediatric interventions, a critical evidence gap ...
Background Depressive symptoms among reproductive-aged women represent a major public health concern in low- and middle-income countries, yet systemat...
There is no consensus in the field of synthetic data on concise metrics for quality evaluations or benchmarks on large health datasets, such as histor...
This study evaluates the feasibility of implementing artificial intelligence (AI)-driven disease surveillance systems at Julius Nyerere International ...
Computer-aided detection (CADe) of early neoplasia in Barrett's esophagus is a low-prevalence surveillance problem in which clinically relevant findin...
Image-to-video (I2V) generation has the potential for societal harm because it enables the unauthorized animation of static images to create realistic...
Background: Limited data utilization in low-resource settings poses a barrier to the vaccine delivery ecosystem, undermining efforts to achieve equita...
Physical adversarial attacks are increasingly studied in settings that resemble deployed surveillance systems rather than isolated image benchmarks. I...
We present the Surveillance Forgery Image Test Range (SurFITR), a dataset for surveillance-style image forgery detection and localisation, in response...