Save the date!
Due to the current situation, we are postponing our symposium until autumn, as soon as events and travel are once again possible without restrictions. In any case, we will also offer the possibility to participate online. We will keep you up to date. Please also take a look at our current work https://www.covid19-knowledgespace.de/
Knowledge graphs are way to represent complex biomedical knowledge in a structured, searchable and interpretable form. In addition, there is a high interest in AI based approaches across the entire biopharmaceutical value chain. More recently, AI methods integrating knowledge graphs and experimental lab data have been suggested.
The purpose of the symposium is to get an overview on the latest trends on
- Using knowledge graphs & network algorithms to build disease specific models in the context of neurodegenerative diseases with focus on Alzheimer’s disease
- Development of novel strategies for high throughput and high content screening & experimental validation of in silico hypotheses with the help of knowledge graphs
- state-of-the-art algorithms and text mining software for large scale document processing as a basis for building knowledge graph
- AI based approaches for integrating data and knowledge graphs for Drug Discovery.