Accurate dietary assessment is critical for understanding diet-disease relationships, informing public health policy, and monitoring intervention efficacy in clinical trials.
This article provides a comprehensive guide for researchers and healthcare professionals on validating machine learning (ML) models in nutrition.
This article synthesizes the most current evidence on the comparative effectiveness of major dietary patterns for managing metabolic syndrome and cardiovascular disease risk factors.
This article provides a comprehensive analysis of the current state and validation of wearable devices for objective food intake monitoring, a critical need in nutritional science and drug development.
Accurate dietary assessment is fundamental for public health surveillance, nutritional epidemiology, and clinical intervention, yet it is notoriously challenging due to inherent measurement errors.
This article provides a comprehensive guide for researchers and drug development professionals on validating biomarkers using controlled feeding studies.
This article provides a comprehensive resource for researchers and drug development professionals on the latest methodologies for assessing postprandial metabolic stress—a critical window for understanding cardiometabolic disease mechanisms.
This article provides a comprehensive guide to the statistical adjustment of total energy intake, a critical methodological step for researchers and drug development professionals.
Accurate assessment of habitual dietary intake is fundamental to public health surveillance, nutritional epidemiology, and clinical trials.
Food Frequency Questionnaires (FFQs) are indispensable yet imperfect tools for assessing dietary intake in large-scale epidemiological studies and clinical trials.