Diet & Nutrition

From in silico screening to mechanism: computational advances in developing anti-allergic agents for food allergy.

Food allergy represents a significant global health concern with considerable socioeconomic impacts. While natural bioactive components offer promising intervention potential, their discovery and mechanistic elucidation through traditional experimental methods remain constrained by high costs, low throughput, and extended research cycles. Computational approaches have emerged as powerful and effic...

Childhood exposure to traffic-related air pollution and lung function at age 10 years: evidence of nutritional modification in a birth cohort.

BACKGROUND: Exposure to traffic-related air pollution has been associated with impaired lung function in children, yet heterogeneity in susceptibility related to nutritional status remains poorly understood. METHODS: We analyzed data from a Korean birth cohort with lung function measured at age 10 years. Dietary nutrient intakes were assessed at ages 6 and 8 years using food frequency questionnair...

Efficacy and Hepatotoxicity of Psoralea corylifolia L.: A Meta-Analysis and Machine Learning Assessment in Postmenopausal Osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Psoralea corylifolia L. (P. corylifolia, also known as Cullen corylifolium (L.) Medik.) is a traditional medicinal her...

Integrating epidemiological and transcriptomic data reveals novel lipid metabolic drivers of obstructive sleep apnea.

BACKGROUND: Obstructive sleep apnea (OSA) is characterized by recurrent upper airway obstruction during sleep and is frequently accompanied by dyslipi...

DeepEN: A deep reinforcement learning framework for personalized enteral nutrition in critical care.

OBJECTIVE: Enteral nutrition (EN) delivery in the ICU remains suboptimal due to limited personalization and uncertainty regarding appropriate calorie,...

Biases of large language models in diagnosing Cushing's syndrome.

The diagnosis of endogenous Cushing's syndrome (CS) can be complicated and often delayed, given its low incidence (estimated globally at 1.8 cases to ...

A smart nutrition system for vitamin B12 deficiency management from sensing to precision intervention.

Vitamin B12 is essential for neural function, red blood cell formation, and DNA synthesis, yet its deficiency persists as a global health burden drivi...

Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation.

BACKGROUND: Steatotic liver disease affects 40% of nonobese individuals, but existing screening tools inadequately detect and stage disease severity i...

The effectiveness of an AI-based therapeutic program on health habits among students with learning disabilities.

This quasi-experimental study examined the effectiveness of a coordinated AI-supported therapeutic framework integrating conversational guidance, adap...

Sustainable distributed microalgae cultivation for food production through artificial intelligence-driven photobioreactor control.

Global food security faces unprecedented challenges from climate change and population growth, demanding transformative approaches to sustainable nutr...

Interpretable machine learning and incremental prognostic model for all-cause and cardiovascular mortality in obesity with MASLD population: Comorbidity insights from triglyceride-glucose and its obesity-related derivatives.

OBJECTIVE: To investigate comorbid correlation and prognostic value of triglyceride-glucose (TyG) and its obesity-related derivatives for all-cause an...

Gut microbiome signatures discriminate deep vein thrombosis through machine learning and metabolic analysis.

Deep vein thrombosis (DVT) remains difficult to distinguish because of its often silent presentation and the limited specificity of current diagnostic...

Development of a Knowledge Map for Managing Symptoms of Graft-Versus-Host Disease in Patients Undergoing Hematopoietic Stem Cell Transplantation.

BACKGROUND: Graft-versus-host disease (GVHD) remains a critical complication affecting patients undergoing hematopoietic stem cell transplantation (HS...

Incorporating dietary information to enhance polygenic prediction models with applications to body mass index and type 2 diabetes.

BACKGROUND: Polygenic predictors can enhance screening for metabolism-related traits such as body mass index (BMI) and type 2 diabetes (T2D). However,...

Single-cell and bulk transcriptomic sequencing reveals tryptophan metabolism-linked biomarkers of obesity.

Obesity remains a major public health challenge, and the contribution of tryptophan metabolism to obesity-associated inflammation remains incompletely...

The role of metabolic health in neurostructural and cognitive alterations in bipolar disorders.

BACKGROUND: Bipolar disorders (BD) rank among the most disabling conditions, affecting millions worldwide. Cognitive impairment in BD is linked with b...

AI-derived bone mineral density from standard radiographs compared with DXA for fracture prediction in a 10-year real-world cohort study.

UNLABELLED: AI-derived bone mineral density from routine radiographs showed strong agreement with DXA and comparable ability to predict incident fract...

Comparative machine learning modeling of resting energy expenditure estimation in mechanically ventilated children after cardiac surgery.

OBJECTIVE: Nutrition status is vital for children's recovery following cardiac surgery, with substantial inter-individual variability in metabolic dem...

Visceral adipose tissue inflammation in endometrial cancer.

BACKGROUND: Obesity is the largest risk factor for endometrial cancer. Body Mass Index (BMI) does not fully capture obesity's metabolic and inflammato...

Determinants of childhood and adolescent obesity: An explainable AI approach using the ICAD database.

OBJECTIVES: To identify the biological, behavioural, and socio-demographic determinants of childhood and adolescent obesity and evaluate how their rel...