“Hiding within those mounds of data is the knowledge that could change the life of a patient or change the world.” – Atul Butte, Stanford

We recently hosted an immersive event exploring the intersection of cutting-edge technologies and the life sciences domain. This year’s event introduced GenAI and Knowledge Graphs as exciting new additions, offering innovative solutions to the challenges faced in data management and analysis.

The workshop served as a dynamic platform for professionals, researchers, and industry leaders to come together, share insights, and collaborate on pioneering approaches in using graph databases and advanced technologies. Participants delved into the latest trends, best practices, and practical solutions shaping the future of the life sciences industry, from deciphering complex datasets to unlocking actionable insights.

View the decks from the presentations of the workshop.

Talk Speaker Company
Opening: Graphs and GenAI in Life Sciences
Dr. Alexander Jarasch
LifeScience Expert – Neo4j
BioCypher/BioChatter: An Ecosystem for Connecting Knowledge Graphs and LLMs Dr. Sebastian Lobentanzer
Heidelberg University Hospital
Harnessing the Power of NLP and Knowledge Graphs for Opioid Research Gursev Pirge, PhD
Senior Data Scientist – JohnSnowLabs
Leveraging the Graph for Clinical Trials and Standards Katja Glaß
OpenStudyBuilder Community Manager – Katja Glaß Consulting

Marius Conjeaud
Principal Consultant – Neo4j
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians Dmitrii Kamaev, PhD
Senior Product Owner – QIAGEN
How Knowledge Graphs and Generative AI Revolutionise Biopharma and Life Sciences Antonio Fabregat
Knowledge Graph Lead – AstraZeneca
Unlocking Glycoscience with Knowledge Graphs Matthew Campbell
Manager, Bioinformatics – InterVenn Biosciences
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph Tomaz Bratanic
Graph ML and GenAI Expert – Neo4j