Nutrition, Data Science and Artificial intelligence

The integration of data science and artificial intelligence (AI) has revolutionised the field of nutrition research, enabling the analysis of large-scale dietary data and the development of personalised dietary recommendations. By harnessing advanced computational techniques, we have the potential to uncover hidden patterns in dietary behaviours and improve nutritional outcomes. The Nutrition, Data Science, and Artificial Intelligence special collection aims to explore the intersection of nutrition science, data analytics, and AI. By leveraging machine learning algorithms, natural language processing, and predictive modelling, we can gain deeper insights into the complex interactions between diet, health, and disease. We invite submissions that leverage advanced computational techniques to analyse large-scale dietary data, predict nutritional outcomes, and develop innovative solutions for personalised dietary recommendations and dietary pattern analysis. Types of Papers:

• Research utilising machine learning algorithms to identify dietary patterns associated with health outcomes.
• Studies applying natural language processing techniques to extract nutritional information from unstructured data sources such as social media or electronic health records.
• Development of novel computational tools or algorithms for dietary assessment, nutritional analysis, or personalised nutrition recommendations.
• Reviews examining the current applications and future potential of data science and artificial intelligence in the field of nutrition.