We are super excited to bring the 6th episode of Graphversation, a monthly livestream series that brings graph experts and Neo4j ninjas for engaging and informative conversations about the fascinating world of graphs. Whether you are a beginner or an advanced developer in graphs, we are confident that you will find our conversations engaging, informative, and thought-provoking.
In this episode, we have Sixing Huang who will talk about, "Knowledge Graphs for Personalized Medicine". In healthcare, data is abundant but often siloed. That makes it difficult to extract meaningful insights. Traditional data management systems are not equipped to handle the complexity of healthcare data, which includes clinical records, medical knowledge, omic results, and more. As a consequence, doctors, researchers, and patients are unable to take full advantage of this valuable resource.
Enter the Knowledge Graphs. They represent and connect diverse data sources. Recently, GPT has made it even easier to construct and query knowledge graphs. In healthcare, we use knowledge graphs to capture the relationships among patients, diseases, treatments, and outcomes. For example, doctors can get a complete list of possible causes for a given set of symptoms, ranked by the odds. Knowledge graphs can explain medical concepts and test results in a layman-friendly way, so patients can understand them more easily. In addition, medical professionals can organize clinical trial data into knowledge graphs for effective search.
Speaker:
Sixing Huang, Gemini Data Japan
I am a German bioinformatician, writer, and Neo4j Ninja. I work for the no-code graph platform Gemini Data Japan as a research scientist and evangelist.
Linkedin: / sixing-huang-3a824a66
Host:
Siddhant Agarwal, Developer Relations APAC @ Neo4j
With over a decade of industry experience, Siddhant has literally spent his entire career in building, scaling and growing communities in India & APAC and has found his passion in launching ed-tech initiatives, design innovation, growing startup ecosystem and building for the next billion users. Siddhant has previously worked with Open Financial Technologies, Google, Beahead and IBM. A design thinker at heart, he loves working with startups and helping them scale in UX and improve their designs.
Linkedin: / sidagarwal04
Resources:
1. Slide Deck: drive.google.com/file/d/1D9Gw...
2. python.langchain.com/docs/use...
3. towardsdatascience.com/integr...
2 авг 2024
