This article addresses the critical methodological challenges and limitations that researchers face when synthesizing evidence on dietary patterns.
This article provides a comprehensive analysis for researchers and drug development professionals on the current state, challenges, and emerging solutions in wristband-based nutrition tracking.
This article explores the application of Latent Class Analysis (LCA) as a novel, person-centered statistical method for identifying complex dietary patterns in population studies.
This article provides a comprehensive exploration of machine learning (ML) applications for classifying and predicting eating behaviors.
This article provides a comprehensive analysis for researchers and drug development professionals on the performance of wearable sensors for automatic eating detection, contrasting controlled laboratory settings with free-living conditions.
This article provides a comprehensive analysis of wearable device technologies for caloric and dietary intake assessment, tailored for researchers and drug development professionals.
Accurate measurement of food intake is critical for advancing nutritional science, validating therapeutic efficacy, and understanding diet-disease relationships.
This article synthesizes current evidence and methodologies in mobile health (mHealth) for eating behavior research, a field rapidly gaining prominence for its potential to deliver scalable, personalized interventions.
This article provides a comprehensive examination of Supercritical Carbon Dioxide (SC-CO2) extraction as a green technology for isolating bioactive compounds for pharmaceutical applications.
This article comprehensively reviews the science and application of colloidal delivery systems for improving the solubility and bioavailability of poorly soluble bioactive compounds and drugs.