Diet & Nutrition

Impact of dental pulp cells-derived small extracellular vesicles on the properties and behavior of dental pulp cells: an in-vitro study.

BACKGROUND: Dental pulp cells-derived small extracellular vesicles (DPCs-sEVs) had shown immunomodulatory, anti-inflammatory, and tissue function restorative abilities. Therefore, DPCs-sEVs should be considered as a promising regenerative tool for dentin-pulp complex or whole pulp regeneration. This study aimed to evaluate the effect of DPCs-sEVs on the proliferation rate, migration capability, an...

Nonlinear associations of serum vitamin D levels with advanced liver disease and mortality: a US Cohort Study.

BACKGROUND: Vitamin D deficiency is prevalent and linked to chronic diseases; its association with advanced liver disease progression requires clarification.

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often relied on self-reported activity measures or short-t...

Edible aquatic robots with Marangoni propulsion.

Centimeter-scale aquatic robots could be used in environmental monitoring, exploration, and intervention in aquatic environments. However, existing ro...

Impact of Vitamin D Deficiency on Short- and Long-Term Mortality in Patients Receiving Hip Fracture Surgery Under General Anesthesia: A Matched Cohort Study.

BACKGROUND: Although vitamin D deficiency (VDD) is common in patients who have hip fractures, the relationship between VDD and mortality risk remains ...

Serum Vitamin D and the Risk of SARS-CoV-2 and Seasonal Influenza Infection During the Twindemic Period.

BACKGROUND & AIMS: The association between circulating vitamin D levels and the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) o...

Intelligent biomanufacturing of water-soluble vitamins.

Given the crucial role of water-soluble vitamins in the human body and the rising demand for natural sources, their biosynthesis has gained the attent...

AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes.

Effective management of obesity and type 2 diabetes is a major global public health challenge that requires evidence-based, scalable personalized nutr...

Uncovering rare earth and precious metal in landfill-mined soil-like-fractions: distribution prediction, ecological risk and resource potential.

The introduction of rare earth elements (REEs) and precious metals (PMs) containing wastes in aged landfills leads to a significant pollutant and reso...

Improving fine-grained food classification using deep residual learning and selective state space models.

BACKGROUND: Food classification is the foundation for developing food vision tasks and plays a key role in the burgeoning field of computational nutri...

Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003-2020).

BACKGROUND: The relationship between heavy metal exposure and heart failure is complex and poorly understood. This study employs machine learning tech...

Unraveling MASLD: The Role of Gut Microbiota, Dietary Modulation, and AI-Driven Lifestyle Interventions.

Gut microbiota has a crucial role in the pathophysiology of metabolic-associated steatotic liver disease (MASLD), influencing various metabolic mechan...

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Harnessing Real-Time Data and Digital Twins for Precision Livestock Farming.

The increasing population and urbanization have intensified livestock production, raising concerns about sustainability, animal welfare, and disease t...

ASAS-NANP SYMPOSIUM: MATHEMATICAL MODELING IN ANIMAL NUTRITION: Application of modeling innovations to support satellite remote sensing for sustainable grazing cattle management.

Integrating modeling innovations and satellite remote sensing technology offers a transformative approach to sustainable grazing cattle management. Ma...

Transfer learning from inorganic materials to ivory detection.

This paper describes the automatic identification of ivory using Raman spectroscopy data and deep neural network (DNN) models pre-trained on open-sour...

Deep Learning-enhanced Opportunistic Osteoporosis Screening in Ultralow-Voltage (80 kV) Chest CT: A Preliminary Study.

RATIONALE AND OBJECTIVES: To explore the feasibility of deep learning (DL)-enhanced, fully automated bone mineral density (BMD) measurement using the ...

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study.

BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy...

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performance, intestinal histological structure, body composi...

Factors influencing short-term and long-term survival rates in stroke patients receiving enteral nutrition: a machine learning approach using MIMIC-IV database.

PURPOSE: This study aims to evaluate the survival and mortality rates of stroke patients after receiving enteral nutrition, and to explore factors inf...

Promoting active health with AI technologies: Current status and prospects of high-altitude therapy, simulated hypoxia, and LLM-driven lifestyle rehabilitation approaches.

In the context of the rising global prevalence of obesity, traditional intervention measures have proven insufficient to meet the demands of personali...