| Technical Name |
SentinEID: An End-to-End, Genomics-to-Bedside AI Platform for Streamlined Pandemic Biosurveillance and Precision Clinical Decision Support |
| Project Operator |
National Taiwan University College of Medicine |
| Project Host |
李建璋 |
| Summary |
SentinEID is an end-to-end "genomics-to-bedside" AI platform for pandemic defense. It integrates an optimized local IDseq pipeline with Taiwanese epidemiological databases to automatically streamline raw mNGS signals into clinical data. Powered by an edge-deployed MedGemma LLM, Knowledge Graphs, and RAG, it tethers to authoritative guidelines to deliver immediate, evidence-based antibiotic recommendations. Built on SMART standards, it is ready to launch on Taiwan's healthcare marketplace. |
| Scientific Breakthrough |
This technology bridges the gap between high-dimensional genomic data and frontline care. By integrating an on-premise IDseq pipeline with a localized MedGemma LLM, it leverages Knowledge Graphs and RAG to translate complex mNGS signals into hallucination-free, evidence-based clinical insights in seconds. Standardized via SMART on FHIR, it establishes a new paradigm for rapid pandemic defense. |
| Industrial Applicability |
This technology targets the smart epidemic prevention and precision diagnostics markets. It facilitates rapid tracking and source tracing of emerging viral variants while providing AI-generated AMR alerts and clinical summaries. Ideal for hospital diagnosis, disease surveillance centers, and genomic testing services, the platform’s multi-modal integration and dual-language support significantly enhance diagnostic efficiency and global collaboration potential. |