AI digital-twin ecosystem translating gut-microbiome–neuroimmune signals into precision sleep–mood interventions - Takeaways - MDSpire

AI digital-twin ecosystem translating gut-microbiome–neuroimmune signals into precision sleep–mood interventions

  • By

  • Xue Yu

  • Ling Fan

  • Shiqing Fan

  • Hong Li

  • April 15, 2026

  • 0 min

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  • 1

    The G-B-S DT-N ecosystem utilizes AI to convert gut microbiome and neuroimmune signals into targeted treatments for sleep and mood disorders.

  • 2

    Four key layers of the ecosystem include Microbiome Dynamics, Neuro-immune Interface, Sleep-Cognition-Emotion Circuits, and Person-Nurse-Environment Triad.

  • 3

    Adaptive care pathways are optimized through nurse-in-the-loop reinforcement learning, enhancing precision in pre-/post-biotic delivery and circadian light prescriptions.

  • 4

    The digital twin framework employs uncertainty-aware explainable AI to ensure privacy, interpretability, and causal inference in patient-specific interventions.

  • 5

    A proposed RCT (D-TWIN-RCT) will evaluate the efficacy of the digital twin approach against standard care in managing complex comorbidities.

Original Source(s)

AI digital-twin ecosystem translating gut-microbiome–neuroimmune signals into precision sleep–mood interventions

  • by Xue Yu, Ling Fan, Shiqing Fan, Hong Li

  • April 15, 2026

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