The gene therapy space continues to grow with the discovery of new gene editing targets. Meanwhile, new indications are being identified for known targets by exploring vector biology and the biological mechanisms underlying disease pathology.

In this webinar, we will show how Biomedical KB-AI accelerates target discovery and indication expansion using generative AI. Biomedical KB-AI provides a more comprehensive view of the biological landscape, enabling the identification of novel relationships and patterns that may be missed by traditional methods.

You will learn:

• About Biomedical KB-AI and its structure

• How to easily search and filter results for the vector system of interest through a subgraph

• How to thoroughly interrogate the subgraph to look for similarity between diseases and targets that can be targeted by vectors of interest

• How to effectively use a knowledge graph for drug repurposing applications