Neo4j Health Care & Life Sciences Workshop

Overview

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Explore a comprehensive two-day workshop focused on leveraging graph technology in healthcare and life sciences. Dive into the power of connecting complex data for improved target discovery, drug safety evaluation, and clinical decision-making. Learn how to map common data models, build web applications, and analyze multi-omics data using Neo4j. Discover real-world case studies on pneumonia therapy response, cancer research, and bacterial genome analysis. Gain insights into advanced machine learning techniques, knowledge reconstruction platforms, and clinical proteomics frameworks. Engage with experts in the field and participate in panel discussions to deepen your understanding of graph databases in healthcare and life sciences applications.

Syllabus

Neo4j Health Care & Life Sciences Workshop Day 1.
Neo4j Health Care & Life Sciences Workshop Day 2.
Neo4j Health Care & Life Sciences Workshop Day 1 - Opening.
Graph data science and knowledge graphs for target discovery for cardiometabolic diseases.
Mapping the OMOP Common Data Model to Neo4j for Pneumonia Therapy Response: SCRIPT Case Study.
Building complex Web Applications for Health Care using Neo4j.
Pegasus: a knowledge graph to support drug discovery.
HealthECCO: Bringing the world’s health knowledge to research and medical decision makers.
Analyzing Perturbed Co-Expression Networks in Cancer Using a Graph Database.
Lifelike - a graph-powered knowledge reconstruction and mining platform to accelerate research.
Graph-centric framework for translational clinical proteomics.
From Queries to Algorithms to Advanced ML: 3 Pharmaceutical Graph Use Cases.
Neo4j for Bacterial Genomes.
Modelling Multi Omics data in Neo4j to identify targets for strain development.
Unveiling the knowledge in knowledge graphs.
Evaluating Drug Safety Data Using Graph Databases.
Clinical Knowledge Graph with Spark NLP and Neo4j.
Neo4j Health Care & Life Sciences Workshop Closing Panel Discussion.