Artificial intelligence (AI) and big data are transforming the field of obesity research by offering unique perspectives into the complex interactions between genetics, behavior, environment, and metabolism. The application of artificial intelligence, predictive modeling, and machine learning permits researchers to analyze datasets of extraordinary scale developed from electronic health records, wearables, genomic backgrounds, and population-based studies. These facilitators allow for personalized risk assessments, the discovery of new biomarker candidates, and enhanced lifestyle and pharmacological approaches to weight management. In addition, the AI-based data systems provide insights into population health through trend detection, accuracy of predicting population-based risk of obesity, and ongoing evaluation of obesity interventions. This session will discuss the latest applications of AI and big data for obesity prevention, treatment, and precision medicine through information, and insight to program development and innovative methods to metabolic health.
Connect, collaborate, and contribute to driving excellence in obesity research, clinical practice, and public health approaches globally.
