Cell-to-cell communication: from physical calling to remote emotional touching

Area of Science:

• Bio-digital systems engineering
• Molecular Communication (MC)
• Computational neuroscience

Background:

• Traditional communication relies on device mediation, limiting bio-integrated interactions.
• Understanding cell-to-cell signaling is crucial for developing advanced bio-digital systems.
• Emotion and cognition are deeply rooted in neurochemical pathways and intercellular signaling.

Purpose of the Study:

• To introduce a novel multi-layered framework for biologically integrated communication.
• To model and process intercellular signaling using Molecular Communication (MC).
• To explore applications in emotion-driven interactions and bio-digital systems.

Main Methods:

• Proposed a multi-layered architecture (in-body, on-chip, external) for MC.
• Utilized fractional-order diffusion systems and neuromorphic decoding for complex signaling.
• Developed a cross-layer molecular digital twin model for context-aware interpretation.

Main Results:

• The framework effectively models and processes intercellular signaling via molecular emissions and biosensors.
• Theoretical foundations were extended to capture complex behaviors in biological environments.
• Demonstrated potential for applications like remote emotional interfacing and cognitive-emotional relays.

Conclusions:

• The proposed framework enables advanced bio-integrated communication, bridging cellular mechanisms to higher-order phenomena.
• This work provides a rigorous scientific foundation for developing sophisticated bio-digital systems.
• Applications in emotion-driven interactions highlight the potential of MC in understanding and modulating affective states.