vantage6

An open-source infrastructure for privacy preserving analysis

The need

Collaborative Analysis

Answering many of the questions in health care often requires incorporating data that are located at different sources. Typically, data from different parties are analyzed by centralizing them. That is, data are brought to where the algorithms are. Unfortunately, this raises heavy concerns regarding the privacy and security of sensitive patient data.

The solution

Federated Learning

Federated learning has emerged as a technological solution to address these concerns. In this novel paradigm, algorithms are brought to where the data are. This way, we can maximize the potential of multiple datasets while minimizing data leaks and privacy risks.

The tool

vantage6

This led us to create vantage6, our open-source platform for supporting the development of federated learning projects.

Philosophy

vantage6 is built on top of three pillars

device_hub
Infrastructure
perm_data_setting
Algorithms
dns
Data



...using three basic principles

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Autonomy
Each party is in control of their own data.
devices
Heterogeneity
Parties are allowed to have differences in hardware and operating systems.
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Flexibility
Support for horizontally- and vertically-partitioned data.

Latest News

News of interest to the community

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Integration of OMOP and OHDSI tools in vantage6

Jan. 23, 2024

In the ever-evolving landscape of healthcare analytics, our commitment to innovation has led us to the groundbreaking integration of OMOP and vantage6, read about our efforts here!

Continue reading
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Vantage6 Workshop 2024 Survey

We are conducting a survey to understand what people would like to learn during a workshop for vantage6. This survey will take about 3 minutes to complete. Your answers are anonymous and will be used to plan our workshop design and content.

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Vantage6 4.0

We are pleased to announce the release of vantage6 version 4.0. We named it after Cotopaxi, one of the highest active volcanoes in the world at 5,897m in the beautiful country of Ecuador.

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Upgrade your algorithms to V4

In a previous post, we introduced vantage6 version 4.0. Version 4.0 introduces several new tools for algorithms and is intended to improve the algorithm development experience, specifically for Python.

Our Team

Meet the core people behind vantage6

hasan
Hasan Alradhi
Scientific Programmer

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Djura Smits
Research Engineer

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melle
Melle Sieswerda
Clinical Data Scientist

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johan
Johan Van Soest
Clinical Data Scientist

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gijs
Gijs Geleijnse
Sr. Clinical Data Scientist

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arturo
Arturo Moncada-Torres
Clinical Data Scientist

This is the way

bart
Bart van Beusekom
Scientific Programmer

I'll pick my quote later

anja
Anja van Gestel
Clinical Data Scientist

Just do it

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Frank Martin
Software Engineer

have you turned it off and on again

Our Partners