Latest AI and machine learning research in diet & nutrition for healthcare professionals.
Cementless total knee arthroplasty (TKA) has regained attention in younger, active, and obese patients, supported by advances in implant design, porous coating, and 3D printing technologies. However, the success of cementless fixation depends on adequate initial mechanical stability and subsequent osseointegration, making the assessment of bone quality at the implant-bone interface essential. Alth...
Accurate assessment of biochemical traits in medicinal plants is essential for supporting environmentally responsible agriculture, improving crop quality, and enhancing the nutritional and pharmacological value of plant-derived products. Although medicinal plants are rich in bioactive compounds, conventional methods for measuring key biochemical components, such as soluble carbohydrates, are often...
Type 2 diabetes melittus (T2DM) remains a major public health challenge in the United States, particularly in the east south central regions. his stud...
Early detection of chronic kidney disease (CKD) is a critical public health priority. However, a gap exists for non-invasive tools to guide screening ...
Artificial intelligence (AI) enables automated, high-throughput adiposity quantification, offering refined risk stratification for women with overweig...
A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic disruption with mental health consequences in obesity...
Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention, have become a focus of current research due to th...
Clostridioides difficile exemplifies a pathogen that leverages its metabolic plasticity to exploit nutrients that become available during community di...
Despite the potential of biochar to enhance crop nutrient uptake, the complex, feedstock-dependent interactions among biochar properties, soil biologi...
Obesity is a major health challenge resulting from the interaction of genetic, behavioral, and environmental factors. In recent years, several convent...
Nutritional science is moving beyond one-size-fits-all recommendations toward more precise and personalized approaches, yet its implementation pathway...
Moore, SR, Cantú, EI, Brantner, CL, Britton, ME, DelBiondo, GM, Blue, MNM, Bruinvels, G, Hackney, AC, Register-Mihalik, JK, and Smith-Ryan, AE. Using ...
OBJECTIVE: This study aimed to assess the correlation of bisphenol A (BPA) exposure with low back pain (LBP) and determine if the underlying molecular...
Synbiotic and functional food formulations modulate gut microbiota, SCFA production, immune signalling and metabolic pathways, yet current development...
A key feature of the Precision Nutrition and Health approach is the ability to tailor interventions to individual variability using multimodal data fr...
Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and adaptability to varied agro-climatic conditions w...
PURPOSE: The primary objective of this systematic review is to explore the role of AI-driven interventions in preventing and managing malnutrition in ...
BACKGROUND: Large language models (LLMs) have emerged as promising tools for estimating energy and nutrient values, yet most existing evaluations focu...
BACKGROUND: Atopic dermatitis (AD) is a prevalent inflammatory skin disease and a major source of disease burden in children. Biomarker studies in chi...
BACKGROUND: Prognostic prediction following gastric cancer surgery plays a pivotal role in postoperative management, helping to optimize therapeutic s...