G-B-S DT-N: AI Digital-Twin Ecosystem for Gut-Brain-Sleep Interventions

Xue Yu presents a novel AI-powered 'gut–brain–sleep' digital-twin nursing ecosystem (G-B-S DT-N) that translates microbiome and neuroimmune signals into precision interventions for sleep and mood disorders. The dataset is a 19.1 KB DOCX file describing the ecosystem's architecture, which integrates multi-omics data, EEG sleep microstructure, real-time sensors, and EMR feeds. It was last updated on April 15, 2026.

Use Cases

• Developing causal inference models based on the described multi-omics data and neuroimmune signals.
• Training nurse-in-the-loop reinforcement learning systems for adaptive care pathways mentioned in the description.
• Building uncertainty-aware explainable AI (XAI) modules for privacy and interpretability in clinical settings.
• Simulating quantum-accelerated digital twins for sleep-cognition-emotion circuits as described.

Strengths

• The description outlines a detailed, multi-layer ecosystem integrating four key domains: Microbiome Dynamics, Neuro-immune Interface, Sleep-Cognition-Emotion Circuits, and Person-Nurse-Environment Triad.
• File is under a permissive CC-BY-4.0 license, facilitating reuse.
• Last updated date is explicitly provided: 2026-04-15 08:21:01.

Limitations

• Dataset is a 19.1 KB DOCX file, indicating it is likely a descriptive document or table, not a primary data repository.
• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The description is conceptual; actual data quality and availability require manual inspection.

Provenance

Source

figshare, author Xue Yu.

Collection Method

Likely contains a conceptual framework or summary table for a proposed digital-twin ecosystem.

Time Range

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Freshness

Last updated 2026-04 15 08:21:01; freshness should be verified as the date is in the future.

Geography

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