Primary Care

Diet & Nutrition

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

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From Carb Counting to Diagnosis: Real World Patient Uses and Attitudes Toward Large Language Models in Diabetes Management

Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and ca...

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification

Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...

Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging

Osteoporosis is a skeletal disease typically diagnosed using dual-energy X-ray absorptiometry (DXA),...

VIVECaption: A Split Approach to Caption Quality Improvement

Caption quality has emerged as a critical bottleneck in training high-quality text-to-image (T2I) an...

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

Diet plays a critical role in human health, with growing evidence linking dietary habits to disease ...

Cognition, Lifestyles, and Environments: Quantifying the Roles of Body Physiology and the Brain

Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure...

Insulin resistance modifies longitudinal multi-omics responses to habitual diet

How habitual diet influences the gut microbiome and plasma metabolome across insulin resistance stat...

ChatGPT with Mixed-Integer Linear Programming for Precision Nutrition Recommendations

Background: The growing interest in applying artificial intelligence in personalized nutrition is ch...

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis

Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radi...

Patient foundation model for risk stratification in low-risk overweight patients

Accurate risk stratification in patients with overweight or obesity is critical for guiding preventi...

A high-fat hypertensive diet induces a coordinated perturbation signature across cell types in thoracic perivascular adipose tissue

Perivascular adipose tissue (PVAT), an intriguing layer of fat surrounding blood vessels, regulates ...

Gold Exploration using Representations from a Multispectral Autoencoder

Satellite imagery is employed for large-scale prospectivity mapping due to the high cost and typical...

Interpretable Lifestyle-Based Machine Learning Models for Ten-Year Cardiovascular Risk Prediction using data from the UK Biobank

Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...

Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...

Phenotypic differentiation between highland and coastal quinoa under cold stress conditions

Quinoa (Chenopodium quinoa Willd.) is a genetically diverse Andean crop valued for its nutrition and...

HyDeMiC: A Deep Learning-based Mineral Classifier using Hyperspectral Data

Hyperspectral imaging (HSI) has emerged as a powerful remote sensing tool for mineral exploration, c...

Clinical and Cross-Domain Validation of an LLM-Guided, Literature-Based Gene Prioritization Framework

Background: We previously published a literature based pipeline for sepsis gene prioritization (PS3 ...

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