v1.0.2: Dynamic Cloud Ontology & Hardcore Federation Debate

Redefining General-Purpose Biomedical AI (v1.0.2)

GeneX-AI is built to be a comprehensive, end-to-end computational biology research system—covering everything from molecular target discovery and drug design to virtual clinical trials and ecological modeling. In v1.0.2, we introduce two massive architectural upgrades to solidify this vision:

• 🌐 Dynamic Medical Ontology (Infinite Scalability)
  A biomedical AI is only as good as its knowledge base. GeneX-AI is no longer limited by a hardcoded local database. When tasked with researching a rare disease or novel pathway, the AI now autonomously queries the EBI OLS (Ontology Lookup Service) cloud. It dynamically maps disease ontologies (e.g., MONDO), fetches real gene targets via UniProt, and builds its own local SQLite cache in real-time. The system's medical knowledge is now infinite and self-expanding.

• 🏛️ Upgraded Multi-Agent Federation Debate
  The debate mode has been overhauled to simulate a rigorous, multi-disciplinary pharmaceutical review board:

  • The Theoretical Physicist strictly evaluates the thermodynamic and kinetic viability of biological pathways.
  • The Synthetic Biologist engineers workarounds (e.g., covalent inhibitors or XNA) to bypass physical dead-ends.
  • The Review Committee acts as the final gatekeeper, executing Virtual Clinical Trials (Population PK/PD) and assessing tumor evolutionary escape risks before approving any drug or genetic modification.

(Note: The gene_knowledge_full_20k.db database remains unchanged from v1.0.0. If you are a new user, please download it from the v1.0.0 release assets.)