Parenting

Artificial Intelligence Applications across the Spectrum of Malnutrition: From Undernutrition to Obesity.

BACKGROUND: Malnutrition is a significant global public health challenge, with rising prevalence and vital consequences. Recent advances in artificial intelligence (AI) have transformed approaches to understanding, monitoring, and managing these conditions. In this context, a multidimensional approach, integrating digital anthropometry and precision nutrition with image processing and AI-based mob...

Concept of premature mortality: protocol for a scoping review.

INTRODUCTION: Premature mortality (PM) is a concept applied in public health, epidemiology, medicine, demography and economics. Its conceptualisations vary across disciplines and often rely on implicit normative assumptions. A scoping review is needed to build a typology to systematise PM conceptualisations and make their assumptions explicit. METHODS AND ANALYSIS: We will conduct a scoping review...

A scoping review on conversational AI in mental health: A human-centered perspective.

BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLMs) enabling personalized interactions. Human-cente...

An investigation into factors associated with adolescent internet gaming disorder: utilizing machine learning and path analysis model.

With the evolving structure of modern internet gaming, adolescent internet gaming disorder (IGD) has become an increasingly serious public health conc...

Closing the loop: AI-driven integration of multi-omics and phenomics for systematic resilient crop engineering.

Sustaining global food security amidst accelerating climate change necessitates a paradigm shift from reductionist breeding to systematic, AI-driven c...

Creating gerotechnologists: a call to action for university-based collaboration bridging gerontology and engineering.

This paper urges universities to form interdisciplinary partnerships between gerontology and engineering programs to develop curricula, mentor student...

Comparison of deep learning-based three-dimensional human pose estimation methods with motion capture for gesture research.

Humans often make gestures while speaking. These gestures have been extensively researched in psychology and cognitive science, revealing their functi...

Association of the neutrophil percentage-to-albumin ratio with sarcopenia in U.S. adults: Evidence from NHANES 2011-2018 and machine learning-based analyses.

BACKGROUND: Sarcopenia is an age-related muscle disorder driven by complex interactions between chronic inflammation and nutritional imbalance. The ne...

Precision nutrition in breast cancer: Towards patient- and tumour-informed dietary strategies.

Dietary strategies are increasingly recognized as important modulators of breast cancer outcomes, acting through effects on metabolic regulation, weig...

Urinary Proteomics: Biological Foundations, Analytical Frameworks, and Clinical Translation Across Human Diseases.

Urinary proteomics has swiftly emerged as a formidable tool for the identification of non-invasive biomarkers and the surveillance of diseases. The pr...

Comparative study on the predictive value of PNI and GNRI for all-cause mortality rates of elderly patients in cardiac care unit and cardiovascular intensive care unit.

BACKGROUND: The prognostic nutritional index (PNI) and geriatric nutritional risk index (GNRI) are reliable alternative biomarkers of nutrition. Howev...

Forecasting under-five stunting in Ethiopia using classical and machine learning time series models.

BACKGROUND: The prevalence of under-five stunting in Ethiopia remains above 30%, which, according to World Health Organization (WHO), constitutes a ma...

Decoding the renal-cochlear axis: explainable machine learning and phenotype clustering reveal high-risk hearing loss subtypes in CKD.

This study develops a dual-level machine learning framework for risk stratification and phenotyping of hearing loss (HL) in patients with chronic kidn...

Online surveys, a breakthrough in research, especially in nutrition and food sciences.

BACKGROUND: Technological advancements and widespread internet connectivity have fundamentally transformed data collection across academic disciplines...

Step Counts and Stepping Intensity Among U.S. Adults: National Health and Nutrition Examination Survey 2011-2014.

OBJECTIVES: To characterize stepping in a nationally representative sample of U.S. adults by age, sex, and race and ethnicity. METHODS: Step counts ar...

Proteomics for precision nutrition: current evidence and future directions.

PURPOSE OF REVIEW: This review critically evaluates proteomics research applied to clinical nutrition and metabolism published between mid-2024 and ea...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Japanese sports dietitians' evidence-based practice implementation is associated with academic degree and English reading ability: A cross-sectional survey.

BackgroundSport Nutrition is a fast-growing academic subject. Language and/or insufficient training will be barriers to evidence-based practice (EBP) ...

Postbiotics and paraprobiotics in food biochemistry mechanisms stability and nutritional applications.

Postbiotics, defined as preparations of inanimate microorganisms and their components that confer health benefits, are emerging as stable and safe alt...

Dietary geroprotective peptides: structural determinants, AI-driven discovery, and synthetic biology production for healthy ageing.

Ageing is characterised by progressive physiological decline, driving global interest in interventions that target its fundamental mechanisms. Dietary...