Primary Care

Diet & Nutrition

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

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Machine Learning Uncovers Food- and Excipient-Drug Interactions.

Inactive ingredients and generally recognized as safe compounds are regarded by the US Food and Drug...

Vitamin D in mild cognitive impairment and Alzheimer's disease. A study in older Greek adults.

BACKGROUND: In recent years, accumulating evidence has linked vitamin D deficiency to cognitive dysf...

Alpha-tocopheryl Succinate in Extender Improves the Post Thaw Quality of Water Buffalo Spermatozoa.

BACKGROUND: Alpha-tocopheryl succinate, a major chain-splitting antioxidant, is the most effective f...

Diterpenoids from Roots of and Toxicity against Human Cancer Cell Lines.

Further investigations on phytochemical constituents of dichloromethane extract from roots of ( led...

Revisiting CRISPR/Cas-mediated crop improvement: Special focus on nutrition.

Genome editing (GE) technology has emerged as a multifaceted strategy that instantaneously popularis...

Diagnosis of Osteoporosis using modified U-net architecture with attention unit in DEXA and X-ray images.

BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on...

FOBI: an ontology to represent food intake data and associate it with metabolomic data.

Nutrition research can be conducted by using two complementary approaches: (i) traditional self-repo...

Application of Machine Learning Methods in Predicting Nuclear Receptors and their Families.

Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely...

Vitamin D deficiency among children aged 10-18 years in Sri Lanka.

BACKGROUND: Vitamin D deficiency (VDD) and insufficiency (VDI) are public health problems in many co...

Anticoagulant treatment in elderly patients with atrial fibrillation: a position paper.

Atrial fibrillation (AF) is common in the elderly. The treatment of this condition is based on antic...

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary laps...

Designing nanoparticle release systems for drug-vitamin cancer co-therapy with multiplicative perturbation-theory machine learning (PTML) models.

Nano-systems for cancer co-therapy including vitamins or vitamin derivatives have showed adequate re...

Sarcopenia feature selection and risk prediction using machine learning: A cross-sectional study.

The purpose of this study was to verify the usefulness of machine learning (ML) for selection of ris...

Effects of In Ovo Vitamin D Injection on Subsequent Growth of Broilers.

This study was conducted to investigate the influence of vitamin D (Vit D) administration on growth...

Assessment of In-Meal Eating Behaviour using Fuzzy SVM.

Certain patterns of eating behaviour during meal have been identified as risk factors for long-term ...

FREGEX: A Feature Extraction Method for Biomedical Text Classification using Regular Expressions.

In this work, we present FREGEX a method for automatically extracting features from biomedical texts...

A case study of cesium sorption onto concrete materials and evaluation of wash agents: Implications for wide area recovery.

To support the viability of a wash-down approach to mitigating nuclear contamination, this study pre...

Cardiovascular calcification: artificial intelligence and big data accelerate mechanistic discovery.

Cardiovascular calcification is a health disorder with increasing prevalence and high morbidity and ...

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