Have we found a way to help non-coders understand complex biomedical data structure?
By Innovations in Phramaceutical Technology - September 24, 2023
Explore: Generative AI • Life Sciences • pharmaceuticals • Thought Leadership
Using knowledge graphs to discover powerful new insights
By Pharmaceutical Market Europe - June 16, 2023
Explore: Dr. Alexander Jarasch • Knowledge Graph • Life Sciences • Thought Leadership
Schneller zum Target
By Transkript - May 8, 2023
Explore: biomedical research • Knowledge Graph • Life Sciences • Thought Leadership
Transforming life sciences and health care with graph technology
By Lab+Life Scientist - May 2, 2023
Explore: Health Care • Life Sciences • Thought Leadership
Generating Powerful New Pharma Insights from Graphs
By International Pharmaceutical Industry - April 5, 2023
Explore: knowledge graphs • Life Sciences • pharmaceutical industry • Thought Leadership
Revolutionising Life Sciences Research and Delivery with a New Approach to Modelling Complexity
By International Pharmaceutical Industry - April 4, 2023
Explore: knowledge graphs • Life Sciences • pharmaceutical industry • Thought Leadership
Accelerating Life Sciences Research and Delivery with Knowledge Graphs
By Innovations in Pharmaceutical Technology - April 3, 2023
Explore: knowledge graphs • Life Sciences • Thought Leadership
Uncovering Data Connections and Insights with Knowledge Graph Tech
By The Journal of mHealth - February 1, 2023
Explore: Knowledge Graph • Life Sciences • Thought Leadership
Graph Data Science for Drug Discovery: The 5-Minute Interview With Ufuk Kirik
By Angela Zimmerman
November 18, 2022 < 1 min read
Dip your toes in the water. Pay attention to graph model, but don’t be a perfectionist. There’s a lot of really good documentation out there. There’s a lot of experts who are willing to share their expertise. Use them and don’t be shy and try it out,” says Ufuk Kirik, Associate Director of Graph Data Science at AstraZeneca.
Explore: 5-minute interview • graph data science • Interview • Life Sciences • pharmaceutical
Vernetzte Daten in der Forschung nutzen
By LABO - May 18, 2022
Explore: graph technology • Life Sciences • nlp
Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS
By Angela Zimmerman
January 18, 2022 9 mins read
A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.
Explore: ai • artificial intelligence • AWS • chatbot • data science • Deep Medicine • Doctor.ai • graph database • Health Care • Healthcare
This Week in Neo4j – Health Care & Life Sciences Workshop, Cloudflare Workers, Apache Hop, and More
By Adam Cowley
November 20, 2021 6 mins read
Check out what’s new this week in Neo4j, including health care & life sciences workshop, Cloudflare workers, Apache Hop and more.
Explore: ai • apache hop • apache spark • art • data engineering • data pipelines • etl • graphlytic • Healthcare • import
#GraphCast: Graphs in Life Sciences – The Cure for Connecting Complex Data
By Allison Wu
October 9, 2020 < 1 min read
Catch this week’s #GraphCast on how graphs connect complex data in life sciences use cases, all of which are particularly prevalent in a Covid-19 world.
Explore: biotechnology • graph data modeling • GraphCast • Life Sciences • pharmaceutical industry
This Week in Neo4j – Data Import using RxJS, GOV.UK Knowledge Graph, Analyzing ArXiv data
By Mark Needham
October 3, 2020 4 mins read
Hey graphistas, I hope your week’s going well. I’ve been playing around with the GDSL’s Pregel API, which provides a vertex-centric computation model for writing graph algorithms. I’ll write something up on my experiments soon. We’re getting close to the… Read more →
Explore: ArXiV • gov.uk • graph algorithms • icij • Life Sciences • rxjs • twin4j
#GraphCast: Graphs Connecting COVID-19 Research
By Bryce Merkl Sasaki
June 19, 2020 2 mins read
Check out this week’s #GraphCast, featuring Alicia Frame being interviewed in TechRepublic on how Neo4j helps power drug discovery research for COVID-19.
Explore: Coronavirus • covid-19 • data science • drug discovery • GraphCast • Healthcare • Life Sciences • natural language processing • nlp • pharmaceutical
Graph Database Technology – The Power To Probe Complex Pharma Datasets
March 1, 2019
Explore: data insights • Graph Data • Life Sciences • medical research
Neo4j Life Sciences & Healthcare Workshop – Proceedings from Berlin
By Michael Hunger
September 29, 2017 9 mins read
Often invisible to the people outside of the field, life science researchers have been quietly embracing graph databases instead of the traditional triple and relational stores. On June 21, we invited a group of life science and healthcare researchers and… Read more →
Explore: Bioinformatics • computational biology • cypher • drug development • Healthcare • intermine • Knowledge Graph • Life Sciences • network biology • systems biology
This Week in Neo4j – 24 June 2017
By Mark Needham
June 24, 2017 4 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we look at how to create a Neo4j powered Alexa bot, analysing the Neo4j… Read more →
Explore: amazon alexa • AWS • biotech • bolt protocol • cypher • intermine • Life Sciences • nlp • twin4j • Twitter API