Life sciences organizations generate hundreds of thousands of terabytes of data during all phases of research and development. However, data without relationships has very little context. Context is critical because it increases the predictive accuracy of analytics and, 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.
At Accelerating R&D in Life Sciences With Knowledge Graphs, you’ll learn about knowledge graphs and graph data science: how they harness the full potential of relationships and why they are such a powerful addition to the pharmaceutical toolkit across the R&D pipeline.
For this month’s Connections event, join us for a half-day of speakers from leading pharmaceuticals as they share their insights and practical experiences using knowledge graphs in every phase of the drug lifecycle – from target discovery and clinical trials to manufacturing and supply chain, and post-marketing surveillance.
Sign up to get more info on the agenda and speakers, as it becomes available. If you’re unable to attend the entire event, that’s okay! Everyone who registers will get access to all of the sessions on-demand after the event – so be sure to register today.
Senior Director, Sales Engineer
Associate Principal Scientist
Engineering Manager - Marketplace and Knowledge Graphs
Clinical Programming Leader
Clinical Programming Director
Senior Director and Data Science Lead, PGS Operations Insights
Chief Executive Officer and Co-Founder
Field Engineering Specialist Pharma / Healthcare / Biotech
Subject to Change
Dr. Jesús Barrasa, Senior Director, Sales Engineering, Neo4j
Knowledge Graphs and Graph Data Science: More Context, Better Predictions
Dr. Christos Kannas, Associate Principal Scientist, AstraZeneca
A Knowledge Graph for Reaction & Synthesis Prediction
Saqib Mir, Engineering Manager – Marketplace and Knowledge Graphs, GlaxoSmithKline
End-to-End Drug Discovery Project Management
Alexey Kuznetzov, Clinical Programming Leader, GlaxoSmithKline
Jorine Putter, Clinical Programming Director, GlaxoSmithKline
How Will Knowledge Graphs Improve Clinical Reporting Workflows
Jonathan Lowe, Senior Director and Data Science Lead, PGS Operations Insights, Pfizer
Emil Eifrem, Chief Executive Officer and Co-Founder, Neo4j
A Fireside Chat with Pfizer: Tracking Drug Genealogy Efficiently with Knowledge Graphs
Dr. Alexander Jarasch, Field Engineering Specialist Pharma / Healthcare / Biotech, Neo4j
Neo4j Demo: Using Knowledge Graphs to Classify Diabetes Patients