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.
