Current Insights into Genome-Based Personalized Nutrition Technology
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrigenetics and Nutrigenomics".
Deadline for manuscript submissions: 5 August 2025 | Viewed by 594
Special Issue Editor
Interests: genetics; nutrigenetics; personalized nutrition; artificial intelligence (AI); machine learning (ML); non-communicable diseases (NCDs); obesity; metabolic dysfunction-associated steatotic liver disease (MASLD)
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Special Issue Information
Dear Colleagues,
Genome-based personalized nutrition technology represents a transformative approach to optimizing dietary interventions through the integration of genetic information. Advances in genomic sequencing and bioinformatics have enabled the identification of genetic variations that influence metabolism, nutrient absorption, and the risk of disease. These insights facilitate the development of tailored nutritional strategies that enhance health outcomes and manage conditions such as obesity, diabetes, and cardiovascular disease. By addressing individual dietary responses, genome-based nutrition moves beyond traditional one-size-fits-all guidelines toward precision-driven, preventive healthcare. As genomic tools become more accessible and cost-effective, this technology could improve the health of the population while advancing the personalization of dietary recommendations in clinical and public health contexts.
This Special Issue focuses on the latest advancements, applications, and challenges in genome-based personalized nutrition, highlighting its role in precision healthcare and public health. We invite researchers to share their findings, methodologies, and perspectives to enhance our understanding and implementation of interventions in this field.
Prof. Dr. George Dedoussis
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
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Keywords
- genetics
- nutrigenetics
- personalized nutrition
- artificial intelligence (AI)
- machine learning (ML)
- non-communicable diseases (NCDs)
- obesity
- metabolic dysfunction-associated steatotic liver disease (MASLD)
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