Data Science and Machine Learning for Nutrition Studies
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition and Public Health".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 49
Special Issue Editors
2. Division of Newborn Medicine, Boston Children’s Hospital, Boston, MA 02115, USA
Interests: medical image analysis; artificial intelligence; medical informatics
Special Issue Information
Dear Colleagues,
Big data, data science, and artificial intelligence (AI) have the potential to reshape nutrition research and the nutrition industry. Ongoing efforts have focused on the use of AI in dietary assessment, lifestyle intervention, nutrition–body interactions, nurture–nature associations, obesity management, dietary evaluation, personalized dietary suggestions, and the screening of malnutrition, to just name a few. Meanwhile, the increasing availability of diverse data, big-data, and multi-modal data—such as in birth cohorts, nutrition registries, retrospective electronic health records, imaging and genetic datasets, digitial-device-collected real-time biomedical data, and so on—is further enabling our understanding of nutrition’s role in the context of genetics, imaging, lifestyle, environement, and socioeconomic status. The field has seen a rapid movement toward personalized precision nutrition recommendations that are more comprehensive, (near) real-time, both in and outside clinical settings, and for not just vulnerable but also general populations. With this, the current Special Issue invites academic researchers and industry experts to share their latest discoveries in a wide range of topics, including but not limited to the following:
- Big data nutrition studies;
- AI in precision nutrition;
- Chatbot for nutrition;
- Food safety and quality control;
- Public health nutrition and nutritional epidemiology;
- Omics nutrition data integration;
- Smartphone or mobile digital device-based nutrition studies;
- Malnutrition prediction;
- Ethical and regulation issues and policy making.
Dr. Yangming Ou
Dr. Sarah U. Morton
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- big data
- artificial intelligence
- precision nutrition
- personalized nutrition
- multi-omics
- cohort studies
- nutritional epidemiology
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