Primary Care

Diet & Nutrition

Latest AI and machine learning research in diet & nutrition for healthcare professionals.

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An insight into the act of iron to impede arsenic toxicity in paddy agro-system.

Surplus research on the widespread arsenic (As) revealed its disturbing role in obstructing the meta...

Obesity and individual performance: the case of eSports.

BACKGROUND/OBJECTIVES: The study considers the problem of the inclusion of people with obesity in th...

Predicting risk of overweight or obesity in Chinese preschool-aged children using artificial intelligence techniques.

OBJECTIVES: We adopted the machine-learning algorithms and deep-learning sequential model to determi...

In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle.

Precision livestock farming technologies are used to monitor animal health and welfare parameters co...

Fungal secondary metabolites in food and pharmaceuticals in the era of multi-omics.

Fungi produce several bioactive metabolites, pigments, dyes, antioxidants, polysaccharides, and indu...

Magnetic Biohybrid Robots as Efficient Drug Carrier to Generate Plant Cell Clones.

Micro/nanorobots represent a new generation of micromachines that can accomplish various tasks, such...

Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment.

Image regression tasks for medical applications, such as bone mineral density (BMD) estimation and l...

Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation.

It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge ...

Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy.

PURPOSE/OBJECTIVES: Radiation therapy (RT) for the treatment of patients with head and neck cancer (...

Identification of osteoporosis using ensemble deep learning model with panoramic radiographs and clinical covariates.

Osteoporosis is becoming a global health issue due to increased life expectancy. However, it is diff...

Fuzzy Cognitive Maps with Bird Swarm Intelligence Optimization-Based Remote Sensing Image Classification.

Remote sensing image (RSI) scene classification has become a hot research topic due to its applicabi...

Pre-germinated brown rice alleviates non-alcoholic fatty liver disease induced by high fructose and high fat intake in rat.

In past researches, we had been proved the action mechanism of pre-germinated brown rice (PGBR) to t...

A deep learning-based approach to automatic proximal femur segmentation in quantitative CT images.

Automatic CT segmentation of proximal femur has a great potential for use in orthopedic diseases, es...

Responsible Governance for a Food and Nutrition E-Infrastructure: Case Study of the Determinants and Intake Data Platform.

The focus of the current paper is on a design of responsible governance of food consumer science e-i...

Development of CNN models for the enteral feeding tube positioning assessment on a small scale data set.

BACKGROUND: Enteral nutrition through feeding tubes serves as the primary method of nutritional supp...

Impact of the training loss in deep learning-based CT reconstruction of bone microarchitecture.

PURPOSE: Computed tomography (CT) is a technique of choice to image bone structure at different scal...

Intelligent Localization Sampling System Based on Deep Learning and Image Processing Technology.

In this paper, deep learning and image processing technologies are combined, and an automatic sampli...

Research on Classification of Open-Pit Mineral Exploiting Information Based on OOB RFE Feature Optimization.

Mineral exploiting information is an important indicator to reflect regional mineral activities. Acc...

Estimation and Prediction of Hospitalization and Medical Care Costs Using Regression in Machine Learning.

Medical costs are one of the most common recurring expenses in a person's life. Based on different r...

Body fat prediction through feature extraction based on anthropometric and laboratory measurements.

Obesity, associated with having excess body fat, is a critical public health problem that can cause ...

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