From Deficiency to Diagnosis: Non-Invasive Approaches in Nutrition Science
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrition and Public Health".
Deadline for manuscript submissions: 25 December 2025 | Viewed by 744
Special Issue Editor
2. Research Vitality, Melbourne, VIC 3000, Australia
Interests: health informatics; digital health; mHealth, eHealth; nutrition; health diseases
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in health technology are paving the way for non-invasive systems that can revolutionize the field of nutrition science. As the demand for precision health grows, innovative approaches are being developed to detect nutrient deficiencies, monitor nutritional biomarkers, and diagnose nutrition-related diseases without the need for invasive procedures. This Special Issue aims to spotlight cutting-edge research and applications in non-invasive technologies that enhance our understanding and management of nutrition and health.
Non-invasive methods, including biosensors, wearable devices, imaging technologies, and digital algorithms, offer promising alternatives to traditional invasive diagnostics. These approaches hold the potential to identify nutrient deficiencies, detect early signs of nutrition-deficiency diseases, and monitor chronic conditions such as inflammation.
Combined with advances in artificial intelligence and machine learning, these systems can personalize nutrition interventions, making them more effective, accessible, and patient-friendly.
For this Special Issue, we invite researchers, clinicians, and technologists to contribute original studies, reviews, and perspectives on the development and implementation of non-invasive techniques in nutrition science.
Topics of interest include, but are not limited to, the following:
- Wearable devices and biosensors: innovations for continuous, non-invasive monitoring of nutrient levels, hydration, and metabolic markers in real-time;
- Advanced imaging and spectroscopic techniques: non-invasive technologies, including optical imaging, spectroscopy, and breath analysis, for detecting micronutrient deficiencies and early signs of nutrition-related conditions;
- AI, machine learning, and digital twins: applications of artificial intelligence, machine learning algorithms, and digital twin models for personalized nutritional assessments and predictive diagnostics;
- Inflammation and chronic disease monitoring: non-invasive tools and methods for detecting and tracking nutritional inflammation markers and related chronic conditions;
- Point-of-care and portable diagnostic devices: rapid, non-invasive solutions for nutritional assessments in clinical, community, and resource-limited settings;
- Integration with digital health platforms: combining non-invasive tools with mobile apps, telehealth systems, and remote monitoring for comprehensive nutrition management;
- Validation and accuracy of non-invasive methods: studies comparing innovative non-invasive diagnostic technologies with traditional approaches, such as blood tests, to establish reliability and accuracy;
- Ethical, practical, and equity considerations: addressing privacy, accessibility, scalability, and fairness in the development and adoption of non-invasive nutrition technologies;
Original research articles, comprehensive reviews, technical notes, and proof-of-concept studies are welcome. We particularly encourage submissions that demonstrate practical applications and those that address the challenges and opportunities in implementing these technologies in various healthcare settings.
Dr. Sasan Adibi
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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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
- non-invasive diagnostics
- nutritional biomarkers
- AI and machine learning in nutrition
- digital twins in health monitoring
- spectroscopic and imaging technologies
- wearable devices and biosensors
- point-of-care diagnostic tools
- nutritional deficiency detection
- digital health integration
- inflammation and chronic disease monitoring
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