> For the complete documentation index, see [llms.txt](https://nanovita.gitbook.io/nanovita-gitbook/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://nanovita.gitbook.io/nanovita-gitbook/core-product-components/ai-bio-intelligence-model.md).

# AI Bio-Intelligence Model

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

* #### <mark style="color:$primary;">Multi-Modal Physiological Signal Fusion</mark>

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

* #### <mark style="color:$primary;">Material-Body Coupled Graph Neural Networks (GNN)</mark>

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

* #### <mark style="color:$primary;">Bayesian Uncertainty Assessment</mark>

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

* #### <mark style="color:$primary;">On-Chain Auditing and Version Control</mark>

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