Graph Data Science for Drug Discovery: The 5-Minute Interview With Ufuk Kirik

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.

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Combating Disease Using Graphs: The 5-Minute Interview With Henrik Enquist

“As a beginner starting to use Neo4j for the first time, I would say just go with it, try it, play with a movie example data set, and just get familiar with it. It’s really quite logical once you figure out the first few steps,” says Henrik Enquist, Advanced IT Developer at Novo Nordisk.

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Graphs for Information Services: The 5-Minute Interview With Cyndi Streun

Graphs are not just something for the researchers, for the universities. There’s a product out there, it’s applicable, it’s in production, it can scale if scale is necessary. It can give you the features you need, take your data, and explore it.

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GraphConnect 2022: 10 Sessions You Don’t Want to Miss

Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.

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Graphie Graphs4Good in Medical Research: 5–Minute Interview with HealthECCO

Let’s hear it for HealthECCO and their groundbreaking medical research using Graphs4Good which won the team a 2021 Graphie Award!

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GeneWeaver: Building a Graph to Map Variants to Genes Using Neo4j 4.x and Bulk Import

Discover how Jackson Laboratory built a graph database to map variants to genes using Neo4j 4.x and the bulk import feature.

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Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS

A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.

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Ravi Anthapu and Matt Holford: 5-Minute Interview

Read this interview with Ravi Anthapu and Matt Holford of Neo4j, who discuss their award-winning project: Patient Journey.

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Elsevier Boosts Global COVID-19 Research with Neo4j

Learn how Elsevier, a Dutch publishing and analytics company specializing in scientific and medical content uses Neo4j for COVID-19 research.

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This Week in Neo4j – Neo4j 4.1 Released, Modeling Patient Journeys, Developing Instagram Clone

Check out this week’s TWIN4J blog round of the past week’s happenings in the world of graph technology and Neo4j, including modeling patient journeys.

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Improving Patient Outcomes with Graph Algorithms

Learn about how AstraZeneca visualized patient journeys, answered important questions about prescriptions and diagnoses, and improved patient outcomes.

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#GraphCast: Graphs Connecting COVID-19 Research

Check out this week’s #GraphCast, featuring Alicia Frame being interviewed in TechRepublic on how Neo4j helps power drug discovery research for COVID-19.

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#GraphCast: Graphs4Good Knowledge Graph to Fight COVID-19

Check out this week’s #GraphCast, featuring our graph community effort to fight the pandemic by building a knowledge graph with heterogeneous COVID-19 data.

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GraphConnect 2020 Agenda: Everything You Need to Know

The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →

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Connecting Healthcare

Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.

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Graphing Space and Time

Discover how the New York Presbyterian Hospital utilizes graph databases to combine time and space data and further comprehend patient data.

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Graph Theory Takes on the Opioid Epidemic

Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.

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Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis

Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.

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Not Everyone Is a Data Scientist: 5-Minute Interview with Sony Green

In this week’s five-minute interview (conducted at GraphTour SF 2019), we discuss how Sony Green and his team use Neo4j with GraphXR.

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Transforming Health Information Technology with a Knowledge Graph

Learn how graph technology aids with the efficiency of electronic data entry in the healthcare industry, featuring vascular surgeon Christopher Wixon.

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#GraphCast: How Graphs Are Used around the Globe

Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.

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Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch

“When I saw Neo4j the first time, I was overwhelmed by how easy it is to connect different types of data,” said Dr. Alexander Jarasch, Head of Data and Knowledge Management at the German Center for Diabetes Research. Diabetes is… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →

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Graphs4Good: Connected Data for a Better World

You’re reading this because of a napkin. It was the year 2000, and I was on a flight to Mumbai. Peter, Johan and I had been building an enterprise content management system (ECM) but kept running up against the challenge… Read more →

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