Latest AI and machine learning research in parenting for healthcare professionals.
BACKGROUND: China is undergoing a rapid nutritional and epidemiological transition. Traditional epidemiological approaches often examine diet and physical activity in isolation, failing to capture the synergistic and non-linear effects of these lifestyle behaviors. This study aimed to develop an explainable machine learning (ML) framework to predict Metabolic Syndrome (MetS) risk using strictly no...
Adolescents who experience both bullying at school and maltreatment within families are at heightened risk for psychological harm, yet little is known about how these dual adversities co-develop and influence psychosocial functioning over time. This three-wave longitudinal study followed 1,246 middle school students in central China to identify joint trajectories of bullying victimization and chil...
Natural products (NPs) have long served as a cornerstone of drug discovery, yielding landmark therapeutics such as paclitaxel and artemisinin and prov...
Radiomics is a growing field in medical imaging that transforms images into high-dimensional quantitative data, offering insights into disease diagnos...
BACKGROUND: Heart failure (HF) affects millions of individuals worldwide and shows an increasing trend, constituting a serious public health issue. Co...
BACKGROUND: The progression of periodontitis is challenging to predict. This study aimed to develop and validate a machine learning model to identify ...
Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned wit...
The BETTER4U project (Preventing Obesity through Biologically and bEhaviorally Tailored inTERventions for You) is a Horizon Europe initiative (GAP 101...
Poultry microbial communities are now recognized as key contributors to host nutrition, immune function, disease resilience, and overall health and pe...
As the global population continues to rise, ensuring nutrition security has become an increasingly critical concern. Climate change poses significant ...
Generative artificial intelligence (AI), particularly large language models such as ChatGPT, is increasingly influencing learning and continuing profe...
Advances in computational biology are reshaping enzyme engineering from empirical practice into a predictive, model-driven discipline. Traditional str...
Maternal undernutrition and micronutrient deficiencies remain pervasive, contributing to adverse pregnancy outcomes and long-term health risks for mot...
Despite its high incidence, the diagnosis of erectile dysfunction (ED) is impeded by current diagnostic constraints and patient hesitancy in seeking m...
Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to dev...
The rapid evolution of computational biology has transformed vaccine design from a largely empirical process into a rational, data-driven discipline. ...
Long-duration spaceflight presents unique physiological and nutritional challenges due to factors such as microgravity, radiation, confinement, and ci...
The malnutrition-based chronic disease (MBCD) model for use in adults to optimize nutrition care is a framework based on epidemiological classifiers, ...
The preservation of lean mass (LM) and its restoration following catabolic loss represents a primary challenge for clinical nutrition in critically il...