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Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

One of the foremost causes of global healthcare burden is cancer of the gastrointestinal tract. The ...

A Machine Learning Classification Model for Gastrointestinal Health in Cancer Survivors: Roles of Telomere Length and Social Determinants of Health.

BACKGROUND: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors,...

The application of ChatGPT in nursing: a bibliometric and visualized analysis.

OBJECTIVE: With the development of ChatGPT, the number of studies within the nursing field has incre...

Artificial Intelligence in Medical Metaverse: Applications, Challenges, and Future Prospects.

The medical metaverse is a combination of medicine, computer science, information technology and oth...

Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry feat...

Chemical-functional characterization of and and dietary supplementation in post-weaning pigs.

INTRODUCTION: As the livestock industry grapples with the need for sustainable land, maintaining pro...

Dietary caffeine and its negative link to serum Klotho concentrations: evidence from the National Health and Nutrition Examination Survey.

BACKGROUND: This is the initial investigation assessing the association between caffeine consumption...

Enhancing Nitrogen Nutrition Index estimation in rice using multi-leaf SPAD values and machine learning approaches.

Accurate nitrogen diagnosis is essential for optimizing rice yield and sustainability. This study in...

Comprehensive Investigation of Machine Learning and Deep Learning Networks for Identifying Multispecies Tomato Insect Images.

Deep learning applications in agriculture are advancing rapidly, leveraging data-driven learning mod...

Milk ladder: Who? When? How? Where? with the lowest risk of reaction.

The milk ladder (ML) approach, which is the gradual reintroduction of the milk allergen from the lea...

Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models.

A significant portion of the world's population relies on rice as a primary source of nutrition. In ...

Predicting sinonasal inverted papilloma attachment using machine learning: Current lessons and future directions.

BACKGROUND: Hyperostosis is a common radiographic feature of inverted papilloma (IP) tumor origin on...

The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance.

This work aims to comprehensively explore the influencing factors of aerobics athletes' performance ...

Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review.

BACKGROUND: Accurate measurement of food and nutrient intake is crucial for nutrition research, diet...

Deep learning-enhanced automated mitochondrial segmentation in FIB-SEM images using an entropy-weighted ensemble approach.

Mitochondria are intracellular organelles that act as powerhouses by breaking down nutrition molecul...

Artificial Intelligence Holds Promise for Transforming Public Health Nutrition.

The intersection of artificial intelligence (AI) and public health nutrition is rapidly evolving, of...

Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.

Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer res...

Neuromorphic engineering: Artificial brains for artificial intelligence.

Neuromorphic engineering is a research discipline that tries to bridge the gaps between neuroscience...

Explainable Deep Learning Approaches for Risk Screening of Periodontitis.

Several pieces of evidence have been reported regarding the association between periodontitis and sy...

Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.

Age and aging are important predictors of health status, disease progression, drug kinetics, and eff...

Making Pathologists Ready for the New Artificial Intelligence Era: Changes in Required Competencies.

In recent years, there has been an increasing interest in developing and using artificial intelligen...

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