An AI-powered system for discovering novel drug-disease relationships using Relational Graph Convolutional Networks (R-GCN) and Retrieval-Augmented Generation (RAG). This project integrates heterogeneous biomedical knowledge graphs with natural language processing to predict and explain potential drug repurposing candidates.

Agentic Drug Repurposing Platform is an AI‑powered web application that automates early‑stage drug repurposing analysis by combining clinical evidence, patent intelligence, and market insights. The system uses modular AI agents to generate actionable insights and downloadable reports, significantly reducing manual research time and effort.

AstraMorph is an AI-driven system that discovers new therapeutic uses for existing drugs using bio-mechanism reasoning, literature intelligence, and digital-twin patient simulations. The platform evaluates a drug against a disease through four coordinated agents and generates a final repurposing decision score.