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Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data.

Childhood obesity is a growing global health concern as it is correlated with an increased risk of a...

Breeding 5.0: Artificial intelligence (AI)-decoded germplasm for accelerated crop innovation.

Crop breeding technologies are vital for global food security. While traditional methods have improv...

Perspectives, challenges and future of artificial intelligence in personalised nutrition research.

Personalised nutrition (PN) has emerged as an approach to optimise individual health outcomes throug...

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional f...

NAFLD progression in metabolic syndrome: a Raman spectroscopy and machine learning approach in an animal model.

Nonalcoholic fatty liver disease (NAFLD) is emerging as the leading cause of chronic liver disease i...

Possibilities and limitations of artificial intelligence in food-derived peptides.

The deep integration of artificial intelligence (AI) with research on food-derived peptides (FDPs) s...

METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).

BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditio...

"Digital Clinicians" Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI) chatbots have shown competency in a range of areas, includi...

Machine learning approaches for predicting the link of the global trade network of liquefied natural gas.

With the rising geopolitical tensions, predicting future trade partners has become a critical topic ...

Application of Artificial Intelligence to Lipid Nutrition: A Narrative Review.

Artificial intelligence (AI) has made significant progress in life sciences, with promising results ...

Potential and challenges for application of microbiomes in agriculture.

The plant microbiome can promote plant health and productivity through a multitude of mechanisms. Ou...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.

The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. M...

Precision nutrition in epigenetic aging: SHAP-optimized machine learning identifies omega-3 constituent-specific associations with aging biomarkers.

This cross-sectional investigation seeks to examine the association between dietary omega-3 fatty ac...

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...

Machine learning in subsurface physical properties and lithofacies prediction in a mining context.

To address energy challenges linked to decarbonization, geosciences are focusing more on advancing m...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

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