Diet & Nutrition

Transfer learning from inorganic materials to ivory detection.

This paper describes the automatic identification of ivory using Raman spectroscopy data and deep ne...

Enriching patient populations in ICU trials: reducing heterogeneity through machine learning.

PURPOSE OF REVIEW: Despite the pivotal role of randomized controlled trials (RCTs) in critical care ...

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...

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 inc...

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 performanc...

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 recei...

An artificial intelligence malnutrition screening tool based on electronic medical records.

BACKGROUND & AIMS: Nutrition screening is a fundamental step to ensure appropriate intervention in p...

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 pr...

Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes.

BACKGROUND AND AIMS: Low muscle mass (LMM) is a critical complication in patients with obesity and d...

Spatial predictive modeling of soil organic carbon stocks in Norwegian forests.

Boreal forest soils are a critical terrestrial carbon (C) reservoir, with soil organic carbon (SOC) ...

Modeling the number of new cases of childhood type 1 diabetes using Poisson regression and machine learning methods; a case study in Saudi Arabia.

Diabetes mellitus stands out as one of the most prevalent chronic conditions affecting pediatric pop...

Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly ...

Artificial intelligence in pediatric osteopenia diagnosis: evaluating deep network classification and model interpretability using wrist X-rays.

Osteopenia is a bone disorder that causes low bone density and affects millions of people worldwide....

Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene.

The burden of diet-related diseases is high in Central Asia. In recent years, the field of food comp...

SmartBerry for AI-based growth stage classification and precision nutrition management in strawberry cultivation.

Agriculture is vital for human sustenance and economic stability, with increasing global food demand...

Artificial intelligence real-time automated recognition of the gastric antrum cross-sectional area and motility rhythm via bedside ultrasound: a pilot study.

The cross-sectional area (CSA) of the gastric antrum and its motility rhythm reflects the gastrointe...

Predicting Weight Loss Success After Gastric Sleeve Surgery: A Machine Learning-Based Approach.

BACKGROUND/OBJECTIVES: Obesity is a global health issue, and in this context, bariatric surgery is c...

ASS1 is a hub gene and possible therapeutic target for regulating metabolic dysfunction-associated steatotic liver disease modulated by a carbohydrate-restricted diet.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the leading cause of chronic liv...

Deep learning for microbiome-informed precision nutrition.

Soil fertility matters! A new conceptual model for carbon stewardship in neotropical croplands taking climate-smart agricultural practices into account.

Mismanagement of agroecosystems in Neotropical regions threatens global security, accelerating the t...

Machine learning model for age related macular degeneration based on pesticides: the National Health and Nutrition Examination Survey 2007-2008.

Age-related macular degeneration (AMD) is the most common cause of irreversible deterioration of vis...