Diet & Nutrition

Groundwater quality assessment in Bihar's aquifers: a machine learning approach.

Globally, the primary concern affecting the suitability of groundwater for drinking is the presence of numerous chemical contaminants in large-scale aquifer systems. Therefore, it is essential to establish reliable methods for assessing groundwater quality and determining the origin of groundwater contaminants. This study developed a comprehensive, data-driven method for evaluating the quality of ...

[Emerging classifications of cardiometabolic risk in obesity].

Obesity, historically defined by body mass index and waist circumference, is a major risk factor for cardiometabolic complications; however, these indicators do not capture the phenotypic heterogeneity or the underlying pathophysiology. Adipose dysfunction, characterized by hypertrophy, chronic inflammation, and ectopic lipid deposition, promotes insulin resistance, lipotoxicity, and vascular abno...

Metabolic Health is Highly Predictive of Chronic Pain Among Non-Obese Adults: Evidence from the NHANES and CHARLS Studies.

OBJECTIVE: To investigate the predictive value of the estimated glucose disposal rate (eGDR) for chronic pain (CP) and to evaluate its consistency as ...

AI-driven personalization of food systems: From precision nutrition to climate-resilient supply chains.

Traditional large-scale production and standardized interventions cannot address the risks due to individual metabolic diversity, climate change, and ...

Machine learning-based preoperative classification of colorectal cancer stage using systemic inflammatory and nutritional biomarkers.

BACKGROUND: Accurate preoperative staging in colorectal cancer (CRC) is critical for determining the appropriate treatment strategy. This study evalua...

Mitigating Misinformation in Health and Nutrition: Assessing Risk, Harm, and Scalable Solutions.

AI and longevity medicine: unlocking predictive and preventive strategies for healthy aging.

Longevity medicine is transforming healthcare by shifting the focus from disease treatment toward the preservation of function, resilience, and health...

Harnessing machine learning to decode dietary Impacts on cardiometabolic multimorbidity.

OBJECTIVE: The objective of this research is to develop and validate the efficacy of a machine learning model that integrates 13 nutrients with baseli...

Maternal obesity and the embryonic rewiring of feeding circuits: beyond the hypothalamus.

Maternal obesity disrupts fetal hypothalamic development by inducing structural changes in feeding circuits, such as reduced hypothalamic precursor pr...

High-throughput design of defined microbial consortia for crop protection.

BACKGROUND: Synthetic microbial communities (SynComs) are changing the mechanism of crop protection that ensures global sustainability in agricultural...

Towards precision agriculture for assessing germination rates and density of rice seedling using hierarchical convolutional neural network on drone imagery.

Rice is a significant food that plays a vital part in delivering nutrition to the world's population. Hence, approaches for assessing rice yield have ...

Attitudes toward artificial intelligence tools in university students: associations with body appreciation and e-healthy diet literacy - implications for digital health education.

BACKGROUND: This cross-sectional study aimed to determine attitudes toward the use of artificial intelligence tools, body appreciation, and e-healthy ...

Age-related determinants of geriatric depression: an analysis of theory-driven and data-driven approaches.

BACKGROUND: Geriatric depression is a prevalent mental health condition whose risk profile may vary across age strata. This study examined whether dep...

Global incidence patterns of early-onset gastrointestinal cancers and their ecological associations with behavioural risk factors.

BACKGROUND: Early-onset gastrointestinal cancers (EOGIC) are increasingly recognised as an urgent global health concern. We aimed to describe the glob...

Real‑World Clinical Characterization of Major Depressive Disorder and Treatment‑Resistant Depression Supported by Natural Language Processing: Multicenter Observational Study From the MOOD Project.

BACKGROUND: Major depressive disorder (MDD) and treatment-resistant depression (TRD) are heterogeneous conditions in which key clinical details are sp...

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...

Proximal Junctional Kyphosis Prevention in Adult Spinal Deformity Surgery: A Technical Review of Tethering and Adjunctive Strategies.

BACKGROUND AND OBJECTIVES: Proximal junctional kyphosis (PJK) and proximal junctional failure (PJF) remain significant complications after long-segmen...

[Automated analysis of mandibular movements for the screening of obstructive sleep apnea].

INTRODUCTION: Obstructive sleep apnea syndrome (OSAS) is a highly prevalent condition, particularly among at-risk populations such as patients with ob...

Machine learning evaluation of TyG-based metrics for arteriosclerosis progression.

Insulin resistance (IR) is a significant risk factor for arteriosclerosis. The triglyceride-glucose (TyG) index and its obesity-related derivatives (T...

In silico augmentation strategies for enhanced machine learning performance in fracture recognition.

This study presents a machine learning framework for fracture risk prediction and in silico validation of synthetic biomedical data. A retrospective d...