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Pharma Data | Webinars

Knowledge Graphs Fuel Drug Discovery: How AstraZeneca Uses Neo4j

14 June 2022
On-Demand Webinar featuring Dr Christos Kannas, Associate Principal Scientist at R&D AstraZeneca & Dr Maya Natarajn, Neo4j Senior Director of Knowledge Graphs

Pharmaceuticals generate hundreds of thousands of terabytes of data during all phases of R&D. However, data without relationships has very little context. Context is critical because it increases the predictive accuracy of analytics, especially machine learning. Enter knowledge graphs.

Knowledge graphs combine heterogeneous data from various sources and drive intelligence into data to equip machine learning and analytics with the context they need. Knowledge graphs are the gateway to powerful graph analytics.

Join us to hear how Dr. Christos Kannas from AstraZeneca utilizes a Neo4j Reaction Knowledge Graph to integrate data from multiple sources to identify reaction data and use that as input into machine learning-driven processes to predict new reactions.

https://youtu.be/WReEDTbcU_M

Speaker Biographies

Dr Christos Kannas, Associate Principal Scientist, R&D AstraZeneca, Gothenburg, Sweden

Dr Christos Kannas is an Associate Principal Scientist at Molecular AI, AstraZeneca, where he works on several projects related to Reaction & Synthesis Prediction, HTS Frequent Hitters, and Hybrid Fingerprints. Dr Kannas develops software solutions that assist researchers working on drug discovery. Before joining AstraZeneca he worked on compound standardisation workflows, multi- and many-objective molecular design algorithms, and virtual screening tools for a web-based virtual screening workflow platform. He holds a PhD, MSc, and BSc in Computer Science. He likes playing computer games, reading books and, since moving to Sweden, hiking with family and friends.

 

Dr Maya Natarajn, Neo4j, Senior Director, Knowledge Graphs

Dr Maya Natarajan is Senior Director of Knowledge Graphs at Neo4j. She is passionate about bringing different technologies together to solve complex problems. At Neo4j, Dr Natarajn is championing the use of knowledge graphs to bring context to various systems and has positioned technologies from blockchain to predictive, user-based analytics to machine learning, deep learning to search, and BPM and beyond in a myriad of industries at various small and large companies. She started her career in biotechnology where she was in R&D, focusing on cardiovascular drugs, and she has five patents to her name.

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