Biomedical
Building a BioCypher-Powered AI Agent for Biomedical Knowledge Graph Generation and Querying
In this tutorial, we implement the BioCypher AI Agent, a powerful tool designed for building, querying, and analyzing biomedical knowledge graphs using the BioCypher framework. By combining the strengths of BioCypher, a high-performance, schema-based interface for biological data integration, with the flexibility of NetworkX, this tutorial empowers users to simulate complex biological relationships such as…
TxAgent: An AI Agent that Delivers Evidence-Grounded Treatment Recommendations by Combining Multi-Step Reasoning with Real-Time Biomedical Tool Integration
Precision therapy has emerged as a critical approach in healthcare, tailoring treatments to individual patient profiles to optimise outcomes while reducing risks. However, determining the appropriate medication involves a complex analysis of numerous factors: patient characteristics, comorbidities, potential drug interactions, contraindications, current clinical guidelines, drug mechanisms, and disease biology. While Large Language Models (LLMs) have…