Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
Obesity and overweight: probing causes, consequences, and novel therapeutic approaches through the American Heart Association's strategically focused research …
JM Clark, WT Garvey, KD Niswender… - Journal of the …, 2023 - Am Heart Assoc
As the worldwide prevalence of overweight and obesity continues to rise, so too does the
urgency to fully understand mediating mechanisms, to discover new targets for safe and …
urgency to fully understand mediating mechanisms, to discover new targets for safe and …
Effect of a personalized diet to reduce postprandial glycemic response vs a low-fat diet on weight loss in adults with abnormal glucose metabolism and obesity: a …
Importance Interindividual variability in postprandial glycemic response (PPGR) to the same
foods may explain why low glycemic index or load and low-carbohydrate diet interventions …
foods may explain why low glycemic index or load and low-carbohydrate diet interventions …
Temporal eating patterns and eating windows among adults with overweight or obesity
We aim to describe temporal eating patterns in a population of adults with overweight or
obesity. In this cross-sectional analysis, data were combined from two separate pilot studies …
obesity. In this cross-sectional analysis, data were combined from two separate pilot studies …
[HTML][HTML] A randomized clinical trial comparing low-fat with precision nutrition–based diets for weight loss: impact on glycemic variability and HbA1c
Background Recent studies have demonstrated considerable interindividual variability in
postprandial glucose response (PPGR) to the same foods, suggesting the need for more …
postprandial glucose response (PPGR) to the same foods, suggesting the need for more …
[HTML][HTML] Artificial intelligence for diabetes: Enhancing prevention, diagnosis, and effective management
M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Introduction Diabetes, a major cause of premature mortality, affects millions globally, with its
prevalence increasing due to lifestyle factors and aging populations. This systematic review …
prevalence increasing due to lifestyle factors and aging populations. This systematic review …
[HTML][HTML] Soluble receptor for advanced glycation end products (sRAGE) isoforms predict changes in resting energy expenditure in adults with obesity during weight …
Background Accruing evidence indicates that accumulation of advanced glycation end
products (AGEs) and activation of the receptor for AGEs (RAGE) play a significant role in …
products (AGEs) and activation of the receptor for AGEs (RAGE) play a significant role in …
Data integration for prediction of weight loss in randomized controlled dietary trials
Diet is an important component in weight management strategies, but heterogeneous
responses to the same diet make it difficult to foresee individual weight-loss outcomes …
responses to the same diet make it difficult to foresee individual weight-loss outcomes …
[HTML][HTML] Development and validation pathways of artificial intelligence tools evaluated in randomised clinical trials
GCM Siontis, R Sweda, PA Noseworthy… - BMJ Health & Care …, 2021 - ncbi.nlm.nih.gov
Objective Given the complexities of testing the translational capability of new artificial
intelligence (AI) tools, we aimed to map the pathways of training/validation/testing in …
intelligence (AI) tools, we aimed to map the pathways of training/validation/testing in …
Objective Determination of Eating Occasion Timing: Combining Self-Report, Wrist Motion, and Continuous Glucose Monitoring to Detect Eating Occasions in Adults …
Background: Accurately identifying eating patterns, specifically the timing, frequency, and
distribution of eating occasions (EOs), is important for assessing eating behaviors …
distribution of eating occasions (EOs), is important for assessing eating behaviors …