In gene therapy space, there is great interest in discovering new gene editing targets as well as identifying new indications for known targets though exploration of vector biology and studying biological mechanism underlying disease pathology. In this webinar, we will focus on how recently introduced Biomedical KB-AI can enable and accelerate such investigation. QIAGEN Biomedical KB-AI uses generative AI to identify novel relationships and patterns that may be missed by traditional methods and can provide a more comprehensive view of the biological landscape.

Participants will learn about

• Biomedical KB-AI and its structure

• How to easily search and filter results for vector system of interest through 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 knowledge graph for drug repurposing applications