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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!

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

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