Webinar Series:
Selecting indications from Multiomics data through knowledge graphs

For successful drug development outcomes, it is often discovered that a pharmacological target may be applicable to diseases beyond its initial identification. For instance, methotrexate, designed to reduce inflammation and slow disease progression, was first developed as a chemotherapy agent for various cancers. However, its anti-inflammatory properties later enabled its effective application in treating autoimmune diseases, such as rheumatoid arthritis and psoriasis. Currently, leveraging data from the Multiomics field — which integrates genomic, proteomic, and other omic data — enables the early identification of suitable indications for a target. At knowing01, we have developed a flexible Multiomics data model based on a knowledge graph that supports the selection of the right indications from the start.

In this webinar, we will explore how our software solution, powered by a knowledge graph, facilitates the identification of the optimal fit between targets and indications.

Join our Quick-View 15-minute Webinar!

When?    Tuesday, 26 March 2024, at 5pm-5:15pm CET (12pm-12:15pm EDT)

Duration?  15 min

Where?   Online!

Details

Dr. Nikola Müller, our founder and CEO, and Karolina Worf, Online Content Manager, will talk about "Selecting indications from Multiomics data through knowledge graphs".