Parenting

Machine learning prediction of food addiction in university students using demographic, anthropometric and personality traits.

People's eating habits are influenced by psychological, social, cultural, and behavioral factors. Research shows that certain personality types expose people to risky eating behaviors. Given the complexity of nutrition-related factors and the limitations of traditional statistical methods, the use of new approaches such as artificial intelligence and machine learning can play an effective role in ...

Artificial Intelligence and the Psychology of Human Connection.

As artificial intelligence (AI) becomes increasingly embedded in social life, understanding its interpersonal and psychological implications is urgent yet undertheorized. This article introduces the machine-integrated relational adaptation (MIRA) model, a transdisciplinary, middle-range theoretical framework that provides a foundational account of when, how, and why AI functions as a relational en...

Mushroom-derived Immunomodulators: Mechanistic insights, omics integration, AI innovation, and clinical applications in precision immunotherapy.

Mushrooms are rich in structurally diverse bioactive compounds that exert potent immunomodulatory effects, making them promising candidates for next-g...

Lymphocyte-based inflammatory biomarkers during the postpartum period and postpartum depression symptoms in U.S. women.

BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infant health. Inflammation is a potential factor for ...

Immune system up-regulation in securely attached infants during early childhood.

Early caregiving relationships shape the coordination of stress and immune systems, yet their biological correlates in early infancy remain insufficie...

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning.

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur foot...

Key evidence for personalised nutrition: a review of randomised controlled trials.

The field of personalised nutrition is growing and is based on the concept that delivering personalised dietary advice will be more effective than gen...

The BUDS (Balanced nUtrition through Daily School meals) program improved school meal intake and promoted healthy growth and eating behaviors in elementary school children.

School meals play a critical role in the daily nutrition of children and the development of lifelong eating habits. The objective of this study was to...

Research advances and outlook of bioactive peptides: integrating artificial intelligence, molecular simulation, and instrumental analysis techniques.

Due to their diverse physiological functions, bioactive peptides have attracted widespread attention in the fields of functional food development and ...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent need for transformative strategies in tissue engine...

Climate-Smart Slurry Management for Sustainable Crop Production in a Warming Future.

The annual nitrogen (N) production from livestock manure is comparable to that of synthetic N fertilizers used globally in croplands. Despite its reco...

Sleep deprivation and epiretinal membrane risk: Machine learning findings from a nation-wide survey.

PURPOSE: This cross-sectional study explored the association between sleep deprivation and epiretinal membrane (ERM) using machine learning applied to...

The discordance of remnant cholesterol and low-density lipoprotein cholesterol as a predictor of diabetes, diabetic microvascular diseases, and cardiovascular disease.

BACKGROUND: The impact of discordance between remnant cholesterol (RC) and low-density lipoprotein cholesterol (LDL-c) on diabetes, diabetic kidney di...

Nanotechnology and machine learning synergies for improving the bioavailability and functional efficacy of dietary polyphenols.

Dietary polyphenols exhibit diverse bioactivities, but their clinical application is limited by poor bioavailability due to low solubility, rapid meta...

Combined effects of persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk: A WQS-XGBoost analysis of US population data.

To assess the combined effects of mixed persistent organic pollutants and endocrine-disrupting chemicals on thyroid disease risk, we analyzed data fro...

One-Step Design of Potent and Nonhemolytic Antimicrobial Peptides by Using a Database-Guided, Nonmachine Learning Approach.

The search for antibiotics is urgent because of the global antibiotic resistance problem. While a variety of strategies are actively sought, interest ...

Enhancing dietary management and nutritional analysis through deep learning: a multi-model approach for food classification and volume estimation.

Nutrition and diet play pivotal roles in fostering a healthy lifestyle. Effective dietary management requires precise identification and analysis of c...

Evolution of the gut microbiome in infancy: recent advances.

PURPOSE OF REVIEW: The early-life gut microbiome is a dynamic ecosystem that alongside other niches, such as the oral and skin microbiomes, undergoes ...

Machine Learning Prediction of Chronic Kidney Disease in Elderly MetS Patients Using NHANES 2011-2020 Data.

BACKGROUND: Chronic kidney disease (CKD) is getting more common in elderly people with metabolic syndrome, but early detection and risk prediction are...

The most vulnerable are prone to use AI therapists: The role of attachment, epistemic trust, and mental health symptoms in acceptance of digital mental health interventions.

OBJECTIVE: Digital mental health interventions (DMHIs) offer scalable solutions to traditional barriers in mental healthcare. Acceptability of DMHIs m...