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Memgraph Webinar: AstraZeneca - Accelerating Drug Discovery With a Biomedical Knowledge Graph

About this event

Join us for the special Memgraph Webinar and learn how AstraZeneca ingests data sources in the Biological Insights Knowledge Graph (BIKG) and distributes it to data scientists and domain experts. You will also find examples of how this knowledge graph assists scientists in therapeutics development.

About the speaker:

Michaël Ughetto is a graph data scientist at AstraZeneca working in the Biological Insight Knowledge Graph team. With a background in particle physics and machine learning, Michaël is interested in graph and geometric learning. Currently, he is focusing on applying graph technologies to drug discovery challenges.

Hosted by

  • Team member
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    Katarina Supe Developer Experience @ Memgraph

    DevRel, graph enthusiast and foodie who loves learning new technologies and enjoys using them in interesting everyday use cases.

  • Team member
    MP T
    Matea Pesic Memgraph

  • Team member
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    Memgraph Team Graph Database @ Memgraph

    Memgraph is an open-source graph database built for real-time streaming and compatible with Neo4j.

Memgraph

Memgraph is an open-source graph database built for real-time streaming and compatible with Neo4j.

Memgraph is an open source graph database built for teams who expect highly performant, advanced analytical insights - as compatible with your current infrastructure as Neo4j (but up to 8x faster). Memgraph is powered by an in-memory graph database built to handle real-time use-cases at enterprise