“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 |
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