AI Bio-Intelligence Model

The technological core of the protocol, its advancement constitutes a key barrier to entry:

• Multi-Modal Physiological Signal Fusion

Utilizes Transformer or Attention mechanisms to fuse heterogeneous time-series data.

• Material-Body Coupled Graph Neural Networks (GNN)

Models the cross-scale interaction patterns between the molecular characteristics of nanomaterials and the human body's biomolecular network.

• Bayesian Uncertainty Assessment

Integrates Bayesian Neural Networks to provide uncertainty intervals for all prediction outputs, enhancing the robustness and reliability of research conclusions.

• On-Chain Auditing and Version Control

All model training parameters, data lineage, and deployment versions are fully recorded on-chain, ensuring complete reproducibility and transparency.