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From traditional to artificial intelligence-driven approaches: Revolutionizing personalized and precision nutrition in inflammatory bowel disease.

Inflammatory bowel disease (IBD), comprising ulcerative colitis and Crohn's disease, is a chronic in...

IPEM topical report: results of a 2024 UK survey of artificial intelligence in medical physics and clinical engineering.

Medical physics and clinical engineering (MPCE) professionals have a critical role in the safe and e...

Innovations in Quail Welfare: Integrating Environmental Enrichment, Nutrition and Genetic Advances for Improved Health and Productivity.

The demand for ethical and sustainable poultry production is driving up the importance of quail welf...

Predicting Weaning Weight of Romanov Lambs From Biometric Measurements Before Weaning Age Using Machine Learning Algorithms.

BACKGROUND: Machine learning systems learn from historical data to forecast future outcomes. In the ...

Development and validation of an interpretable machine learning model for predicting hyperuricemia risk: Based on environmental chemical exposure.

Hyperuricemia is a global health concern, with environmental chemicals as risk factors. This study u...

[Rethinking scientific integrity in plastic surgery: Reflections on editorial and institutional responsibilities].

Plastic surgery, by nature an innovative discipline, has historically relied on clinical case report...

A general deep learning model for predicting and classifying pea protein content via visible and near-infrared spectroscopy.

Rapid and accurate detection of pea protein content is crucial for breeding and ensuring food qualit...

Preparation of Active On-Demand Antibacterial Hydrogel Epidermis Electrodes Based on Flora Balance Strategy for Intelligent Prostheses.

Hydrogel epidermis electrodes have demonstrated remarkable potential for stable electrophysiological...

Machine learning: An effective tool for monitoring and ensuring food safety, quality, and nutrition.

The domains of food safety, quality, and nutrition are inundated with complex datasets. Machine lear...

AI Approaches to Homogeneous Catalysis with Transition Metal Complexes.

Artificial intelligence (AI) is transforming research in chemistry, including homogeneous catalysis ...

Ripen banana dataset: A comprehensive resource for carbide detection and ripening stage analysis to enhance food quality and agricultural efficiency.

We introduce the "Ripen Banana" dataset, a newly developed collection featuring two distinct classes...

Artificial intelligence medical scribes in allied health: a solution in search of evidence?

Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe pat...

Constructing a predictive model of negative academic emotions in high school students based on machine learning methods.

Negative academic emotions reflect the negative experiences that learners encounter during the learn...

Multidimensional computational strategies enhance the thermostability of alpha-galactosidase.

Alpha-Galactosidase has significant industrial application value in food processing, animal nutritio...

Navigating nutrients: A scoping review on real-time food nutrition classification and recommendation systems.

In an era where fast-paced lifestyles often conflict with the pursuit of healthy eating, the demand ...

Advances in artificial intelligence for diabetes prediction: insights from a systematic literature review.

Diabetes mellitus (DM), a prevalent metabolic disorder, has significant global health implications. ...

NLP for computational insights into nutritional impacts on colorectal cancer care.

Colorectal cancer (CRC) is one of the most prominent cancers globally, with its incidence rising amo...

DiMB-RE: mining the scientific literature for diet-microbiome associations.

OBJECTIVES: To develop a corpus annotated for diet-microbiome associations from the biomedical liter...

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