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Neo4j LifeScience Workshop 2024 

Neo4j
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Welcome to the Neo4j Health Care & Life Sciences Workshop 2024!
Join us for an immersive exploration into the intersection of cutting-edge technologies and the life sciences domain. This year, we're thrilled to introduce GenAI and Knowledge Graphs as exciting additions to our event, promising innovative solutions to the challenges faced in data management and analysis.
Our workshop serves as a dynamic platform for professionals, researchers, and industry leaders to come together, share insights, and collaborate on pioneering approaches in leveraging graph databases and advanced technologies. From deciphering complex datasets to unlocking actionable insights, we'll delve into the latest trends, best practices, and practical solutions shaping the future of the life sciences industry.
Sessions:
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
#neo4j #graphdatabase #lifescience #healthcare #pharma #graphrag #rag #genai #bioinformatics #knowledgegraph

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11 июн 2024

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Комментарии : 2   
@user-de9hv2gu9z
@user-de9hv2gu9z Месяц назад
Hi, thanks for this video. I've found knowledge graph very useful when describing complex relationship among variables. However, I'm still not sure how to draw a knowledge graph to describe an interaction effect (i.e., the effect of X1 on Y depends on another variable X2). For example, "while brand commitment attenuates negative consumer responses in low-severity recalls, it augments them in high-severity recalls." this sentence depicts the interactive effect of brand commitment and severity of recalls on negative consumer responses. It would be very helpful if you provide some suggestions! Thanks always.
@neo4j
@neo4j Месяц назад
Check out our book on knowledge graphs: neo4j.com/knowledge-graphs-practitioners-guide/ We also have a regular video series on the topic: neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/
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