Primary Care

Diet & Nutrition

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

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The use of machine learning in paediatric nutrition.

PURPOSE OF REVIEW: In recent years, there has been a burgeoning interest in using machine learning m...

Deep-Learning-Assisted Discriminative Detection of Vitamin B and Vitamin B by Fluorescent MoSe Quantum Dots.

A facile and environmentally mindful approach for the synthesis of MoSe QDs was developed via the hy...

Impact of visceral fat area on short-term outcomes in robotic surgery for mid and low rectal cancer.

Rectal cancer is one of the most prevalent cancers that arise in the digestive tract. The purpose of...

[Development of prognostic clinical and genetic models of the risk of low bone mineral density using neural network training].

BACKGROUND: Osteoporosis is a common age-related disease with disabling consequences, the early diag...

Recognition of food images based on transfer learning and ensemble learning.

The recognition of food images is of great significance for nutrition monitoring, food retrieval and...

Prevalence and Correlates of Vitamin D Deficiency among Adult Population in Urban and Rural Areas of the National Capital Region of Delhi, India.

High prevalence of Vitamin D deficiency has been reported among selective population, but its popula...

Study on the Effect of Low Calcium Dialysate on Biochemical Profile of Adynamic Bone Disease in Patients on Maintenance Hemodialysis.

In recent years, adynamic bone disease (ABD) has become a common skeletal lesion in adult patients w...

A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems.

The daily healthy diet and balanced intake of essential nutrients play an important role in modern l...

Association between plain water intake and risk of hypertension: longitudinal analyses from the China Health and Nutrition Survey.

OBJECTIVE: This study aimed to investigate the prospective association between plain water intake an...

Analysis of the antioxidant activity of toons sinensis extract and their biological effects on broilers.

Plant extracts are rich in a variety of nutrients and contain a large number of bioactive compounds,...

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study.

OBJECTIVE: Depression is very common and harmful in patients with obstructive sleep apnea hypopnea s...

The buccal micronucleus cytome assay: New horizons for its implementation in human studies.

In this report we provide a summary of the presentations and discussion of the latest knowledge rega...

Evaluation of deep learning-based quantitative computed tomography for opportunistic osteoporosis screening.

To evaluate diagnostic efficacy of deep learning (DL)-based automated bone mineral density (BMD) mea...

Predictors of micronutrient deficiency among children aged 6-23 months in Ethiopia: a machine learning approach.

INTRODUCTION: Micronutrient (MN) deficiencies are a major public health problem in developing countr...

Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease.

Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million since 2015, ...

Frankincense preparation promotes formation of inflammation-resolving lipid mediators by manipulating lipoxygenases in human innate immune cells.

Frankincense preparations are frequently used as traditional anti-inflammatory remedies in folk med...

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