README.md

metadata

title: Abyssinia Intelligence V10
emoji: 🧬
colorFrom: gray
colorTo: blue
sdk: streamlit
sdk_version: 1.54.0
python_version: 3.11
app_file: app.py
pinned: false

Abyssinia Intelligence | Version 10

Autonomous Bio-Agentic System

Abyssinia Intelligence V10 represents the transition from static medical records to Dynamic Metabolic Simulation. This version introduces the Simulation Lab, a pharmacokinetic modeling engine that predicts drug serum concentrations based on a patient's unique genomic markers.

🧬 Core Systems

• Ambient Scribe: Real-time clinical encounter synthesis into SOAP format.
• Neural Graph: 3D Neuro-Symbolic mapping of symptoms and genetic variants.
• Metabolic Lab: Predictive pharmacokinetic modeling ($C_{max}$ and $T_{max}$ simulation).
• Digital Twin Chat: Agentic reasoning for therapeutic decision support.

🚀 Deployment Instructions

1. Secrets: You must add GEMINI_API_KEY to your Space Secrets.
2. Structure: Ensure the following modules are present:
   • app.py: Main Glassmorphic UI.
   • omni_agent_v10.py: Agentic reasoning engine.
   • omni_graph_v9.py: 3D relational mapping.
   • bio_sim_v10.py: Pharmacokinetic simulation logic.
3. Hardware: Runs on standard CPU basic instances; T4 Small recommended for faster 3D rendering.

🛡️ Clinical Disclaimer

This software is a decision-support tool for qualified healthcare professionals. All metabolic simulations are based on standardized pharmacokinetic models and must be clinically validated before patient application.