Objective:

To develop an innovative AI-powered digital twin ecosystem that translates gut microbiome and neuroimmune signals into precision interventions for sleep and mood disorders.

Key Findings:

• Gut microbiota significantly influences brain function and sleep regulation, with specific studies supporting this.
• Targeted dietary interventions can modify microbial composition and improve neuropsychiatric symptoms, as evidenced by clinical trials.
• Dysbiosis is linked to sleep disorders and can be addressed through precision probiotic therapies, with examples from recent research.
• Microbial metabolites play a crucial role in regulating sleep architecture and emotional well-being, supported by empirical data.

Interpretation:

The digital twin framework offers a scalable approach to managing complex comorbidities related to sleep and mood disorders, emphasizing the pivotal role of nursing in microbiome-precision medicine and its potential impact on patient outcomes.

Limitations:

• Requires rigorous controlled longitudinal trials to establish causality, with potential designs suggested.
• Potential challenges in data privacy and ethical considerations in AI applications, with recommendations for best practices.

Conclusion:

This innovative ecosystem positions nursing as a pivotal element in the advancement of microbiome-directed therapies for sleep and mood disorders, highlighting the need for interdisciplinary collaboration.