REYED M R (He/Him)

Associate Professor | Ph.D. in Clinical Microbiology | Nutrition Science Expert | International Editorial Leader | Reg. Clinical Nutritionist, GEBRI; City of Scientific Research and Technological Applications (SRTA-CITY),

Egypt

REYBIOMIC™ System: A Conceptual and Translational Architecture for Polybiome Systems Medicine Linking Microbiome Science, Precision Nutrition, Metabolic Health, and One Health Applications

Can microbiome data be translated into actionable metabolic health solutions? The REYBIOMIC™ System proposes an integrated framework linking microbiome science, artificial intelligence, precision nutrition, and nutraceutical innovation to advance Polybiome Systems Medicine and One Health research.

REYED M R

Jun 24, 2026

RPCF-AMR: From Resistance Surveillance to Predictive Control—A Precision Convergence Framework for Integrated Antimicrobial Resistance Governance

RPCF-AMR proposes a shift in antimicrobial resistance governance from reactive surveillance to predictive, AI-driven convergence framework. It integrates genomic microbiome clinical and environmental data within a One Health system for early detection, forecasting, and precision policy control.

REYED M R

Jun 06, 2026

The Nanoplastic Proteostatic Panflemmosis Metabolic Continuum (NPPMC): A Systems Framework for Understanding Chronic Biological Responses to Nanoplastic Exposure

Evidence of nanoplastic exposure is growing faster than our ability to explain its consequences. Existing models remain fragmented. This article proposes a systems-level framework linking proteostatic disruption, chronic inflammation, and metabolic reprogramming.

REYED M R

Jun 02, 2026

Rethinking Chronic Disease Through Systems Biology, Microbiome Science, and AI Integration

Health and disease emerge from interacting biological systems shaped by genes, microbes, nutrition, and environment. Integrating these signals through systems frameworks and AI-driven analytics may help address persistent gaps in chronic disease research.

REYED M R

Mar 14, 2026

The Algorithmic Plate: AI-Driven Inverse Nutrient Design and the Emergence of Digital Nutrient Specification

AI-driven nutrigenomics integrates genomic and microbial data to design personalized nutrients. This perspective introduces Digital Nutrient Specification, Functional Deficiency Scoring, and genotype/polybiome-aligned biomanufacturing for precision nutrition.

REYED M R

Mar 07, 2026

Polybiome Systems Medicine (PSM): A Systems-Level Biodiversity Conversion Framework for Precision Nutrition and Predictive Health 2040

PSM presents a systems-level Biodiversity Conversion Framework that translates microbial diversity into stratified, AI-guided precision nutrition and predictive health models, integrating ecological intelligence with scalable clinical validation toward 2040-ready healthcare systems.

REYED M R

Feb 22, 2026

Digital Nano-Plastic Science (DNPS) Paradigm: Computational Intelligence and Proteostasis Disruptions

Plastic pollution is no longer just about dose and debris. At the nanoscale, plastics interact with living systems in ways that challenge how we think about exposure, risk, and disease. This shift calls for a new, systems-level perspective.

REYED M R

Feb 08, 2026

Polybiome Systems Medicine: Conceptual Architecture, Methodological Foundations, and Translational Applications — Volume I: Vision and Foundational Methodology

As microbiome research moves toward multi-omics and AI-driven analysis, the gap between data richness and conceptual integration is becoming harder to ignore. This post introduces the first volume of a systems-level framework designed to address that gap.

REYED M R

Feb 08, 2026

A Systems-Level Terminology for Microbiome-Mediated Inflammatory Regulation: Panflemmosis, Dysgutome, Colobiota, EuColobiota, Micrometabionics, and Colo-Mycobiota Overgrowth (COMO)

We can now measure the microbiome in extraordinary detail, but we still describe it with a language built for simpler biology. In inflammation research, this mismatch has become a real conceptual bottleneck. Here, I introduce a systems-level terminology to address this gap.

REYED M R

Feb 07, 2026

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