Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Emotional intelligence (EI) is a critical determinant of children's socio-emotional and neurocognitive development, and deficits in EI dimensions are associated with long-term psychological and behavioral risks. Existing interventions are often static, resource-intensive, and lack personalization, interpretability and reasoning beneath the suggestions. Scalable, explainable AI approach...
Forests play a vital role in ecology, economy, urban planning, and social well-being, emphasising the importance of monitoring forest cover and its changes. The study evaluates the ecological impact of the military conflict on forest ecosystem in Ukraine using a time series of Sentinel-2 data and machine learning algorithms. Forest losses following the beginning of the war were derived using a cha...
UNLABELLED: Childhood obesity is the main driver of early metabolic risk, predisposing to cardiovascular disease (CVD) and type 2 diabetes (T2D), whic...
Artificial intelligence and machine learning (AI/ML) in prevention science may improve or perpetuate health inequities. Community engagement is one pr...
Highly pathogenic avian influenza (HPAI), especially the H5N1 subtype has caused repeated global outbreaks, primarily affecting birds, but occasionall...
OBJECTIVE: Communicable diseases, especially seasonal respiratory illnesses, contribute significantly to paediatric hospital presentations and admissi...
Epidemiology has long been central to public health, guiding our understanding of the distribution and determinants of disease. As the field has evolv...
The relationship between social media use (SMU) and mental health, particularly depression, remains inconclusive. The present study recruited 925 coll...
Cryptosporidiosis, caused by Cryptosporidium spp., is a significant zoonotic parasitic disease impacting neonatal calves, leading to severe diarrhea, ...
Coronary artery disease (CAD) remains a leading cause of mortality and morbidity worldwide. Coronary artery calcification (CAC) is a well-established ...
Type-2 diabetes is a major public health concern in Bangladesh, and this dataset provides 1065 curated patient records with demographic, anthropometri...
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, arising from complex interactions among demographic, clini...
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytical challenges due to their structural diversity, l...
We aim to present recent advancements in predictive markers for lymphomagenesis in SjD, concisely organize existing knowledge, and identify correspond...
PURPOSE OF REVIEW: The 2022 global mpox outbreak showed that surveillance systems were not ready to quickly detect or adapt to the new dynamic of huma...
Antimicrobial resistance (AMR) has emerged as one of the most critical global public health crises, causing an estimated 700,000 deaths annually accor...
The rapid proliferation of unmanned aerial vehicles (UAVs) for logistics, surveillance, and civilian applications continues to pose significant challe...
Prostate cancer places a heavy economic burden on health care in many countries globally. This is no exception in Africa. It is also described as one ...
BACKGROUND: Machine learning (ML) may improve prediction of atrial fibrillation (AF), but its value compared with traditional models such as Cohorts f...
BACKGROUND: Multidrug-resistant tuberculosis (MDR-TB) remains a major public health challenge in South Asia, which bears a disproportionate global bur...