Latest AI and machine learning research in parenting for healthcare professionals.
Mental health problems (MHPs) among university students are an increasing public health concern globally, including in Bangladesh. While machine learning (ML) methods can capture complex patterns in mental health data, their application to non-probability, cross-sectional student samples requires cautious interpretation. This study applies an exploratory explainable ML framework to examine pattern...
PURPOSE: Periodontitis is a common chronic disease associated with systemic conditions such as diabetes and cardiovascular disease. Diagnosis typically relies on dental examinations and radiographs, which may be underutilised by individuals who avoid, delay, or lack dental care. This study evaluated the potential of routine blood biomarkers and demographic data for screening moderate-to-severe per...
Large language models (LLMs), built on transformer architecture, have emerged as a fundamental tool in natural language processing and contextual reas...
The evolution of materials science is undergoing a profound paradigm shift driven by artificial intelligence (AI), transitioning from traditional intu...
Fermentation is a key process in food manufacturing that determines product quality, safety, and nutrition. Traditional offline and manual monitoring ...
While large language models (LLMs) have shown promise as learning tools for medical education, their reported accuracy on multiple-choice questions (M...
Wearable movement data is collected by nearly all commercially available smartwatches and is a valuable resource for mental health research, reflectin...
The rising disease burden of inflammatory bowel disease (IBD) parallels the changing dietary landscape accompanying industrialization, underscoring th...
The vascular system serves as the central architecture of the human circulatory network, whose structural and functional integrity is vital for mainta...
Conversational artificial intelligence (AI) chatbots are increasingly used for emotional support, companionship, and psychological reflection. Their c...
Spaceflight exposes humans to unique stressors that remodel biology. Space health is emerging as a data science discipline grounded in multiomic atlas...
Disciplines conducting health research rely on discipline-specific workflows that are distinct from data science, the discipline which develops most a...
Although many predictive models for metabolic dysfunction-associated steatotic liver disease (MASLD) have been developed, their performance remains su...
BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisi...
Plant cell walls are complex networks of polysaccharides that underpin plant structure and provide dietary fibers that promote human health. These pol...
BACKGROUND: This scoping review examined literature on nursing educators' attitudes, preparedness, and utility of generative artificial intelligence (...
Predicting the clinical efficacy of Natural Killer (NK) cell immunotherapies remains challenging due to functional heterogeneity within effector popul...
Neurological disorders, such as Parkinson's disease and stroke, often lead to neurogenic dysphagia, a swallowing disorder that compromises nutrition a...