Advancing Diabetes Reclassification Using the NexDi AI System With Multi-Omic Insights
Abstract
NexDi is introduced as an advanced framework that reconceptualizes diabetes as a fluid continuum of β-cell vulnerability shaped by genetic, nutritional, and environmental pressures. Type 1 diabetes is a state where autoimmune activity increasingly overlaps with insulin resistance pathways, whereas type 5 diabetes emerges from maternal anemia, hidden hunger, and early-life undernutrition. This spectrum reflects the dual burden observed in Egypt, where rising childhood diabetes coexists with persistent nutritional deficits. Environmental stressors, including exposure to endocrine-disrupting agents and microplastic, further disturb metabolic and polybiome stability. By integrating nutrigenomics, AI-enabled prediction, and polybiome analytics, NexDi provides a scalable and culturally grounded pathway toward predictive, preventive, and personalized diabetes care.
Fields of Study & Subjects
Nutrition
Genetics
and Disease
Health
Environment
Cognitive Aging
Diabetes and associated disorders
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Publisher
- IGI Global Scientific Publishing
- Pages
- 1–92
- Publication date
- 10 March 2026
- Document type
- Book chapter