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#SwarmLearning

Harnessing digital power for better medical care

Machine Learning and Artificial Intelligence are our tools to develop data-driven solutions in precision medicine, while emphasizing the importance of data protection, privacy and ethics.

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About Us

A team dedicated to taking precision medicine to the next level.

Our multidisciplinary group brings together top-ranked scientists in Immunology, Infectious Diseases, Clinical Research, Statistics, Data Science and Population Research.

Together, we want to ensure a deep understanding of relevant biological questions, using multi-omics strategies with strong support from streamlined algorithms.

Renowned researchers
Competent team
International network
Reliable infrastructure
Projects

Improving multi-omics analysis in multiple fronts

Custom-made applications are built to determine the correct outcome for genomics, transcriptomics, proteomics and single-cell sequencing platforms.

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Global Swarm

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COVIM Immunohub 2.0

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Pandemic Preparedness

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NeuroCOV

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Together and stronger

Collaborative work across multiple top-ranked institutions

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Research centers
University hospitals
Clinical stations

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participants

2912

datapoints

Projects

Explore our Swarm Learning Projects

Popular FAQs

Frequently Asked Questions

Swarm learning is a decentralized machine learning approach where multiple nodes collaborate to train models without sharing raw data, preserving privacy and data security. It is a technique that leverages permissioned blockchain technology to coordinate and validate the learning process across distributed participants.

A permissioned blockchain is a type of blockchain network that restricts access to authorized participants only, ensuring that only verified entities can join and perform transactions. This type of blockchain provides greater control over network governance and data privacy compared to public blockchains.

No. Only insights and learnings are used for the Swarm models, meaning that the data remains with you, all the time.

Yes.

Using the HIFIS Authentication platform, login into your Swarm-User area to access your dashboard.

Click here to access the decision tree which will give you the standard metadata format for your specific needs.

Login into our LaminDB shared space to add or edit details about your dataset.

Click here to visit our Wiki page for assistance.
Our Team

Meet Our Experienced Team Members

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Prof. Dr. Joachim L. Schultze
Group Leader
Dr. Hartmut Schultze
Machine Learning Specialist
Dr. Stefanie Warnat-Herrestal
Young Group Leader
Anna Aschenbrenner
Group Leader
Testimonial

Meet our coordinators!

The Swarm Learning counts with the knowledge of several experts in Biology, Medicine and Data Science. Here are their thoughts on Swarm Learning.

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