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University of Cologne

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University of Cologne

Faculty of Medicine

Institute for Biomedical Informatics

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Ana Grönke

Employee photo Ms. Ana Grönke

Ana Grönke (Dr. rer. nat.)

Project Coordinator / Data Steward / Research Officer at University of Cologne

ORCID: 0009-0006-9447-7687

Biography

Ana Grönke holds a Master’s Degree in Biology (University of Belgrade, 2003), a Magistrate Degree in plant physiology and genetics (University of Belgrade, 2006), a PhD Degree in Medical Sciences (Karolinska Institute, Sweden, 2013), and a postdoctoral work focusing on mitochondrial dysfunction in human diseases (Max-Planck Institute for Biology of Ageing, Cologne, 2013-2020). She is responsible for managing and acquiring the international and national multi-consortial projects focusing on innovation at the intersection between medicine and health sciences.

Contact

Email ana.groenke@uk-koeln.de
Phone +49 (0) 221 478-96995
Office mail: MeDIC - Geb. 5 -Gleuler Str. 70 - 50937 Köln - 2 OG - Room 2.007 visiting: MeDIC - Geb. 5 -Gleuler Str. 70 - 50937 Köln - 2 OG - Room 2.007
www.linkedin.com

Academic Background

Areas of Expertise

Publications from Ana Grönke

Tools & Services

FLAME - Federated Learning and Analyses in Medicine

FLAME (Federated Learning and Analysis in Medicine) is a novel software platform designed to enable secure, decentralized data analysis within the ...

Hospital External Data Delivery via Medical Data Integration Center (MeDIC) and FDPG

A central task of the MeDIC is the provision of medical care data for authorized external people.

Symbolic Image - Research Data Management

Consulting and Training in Research Data Management

This service brings together expert consulting and focused training to support good research data management in practice. Researchers receive tailo...

Terminology Server (SU-TermServ)

The central terminology server for the HiGHmed project and the NUM projects is hosted at the Cologne site and made available for connection.

PADME - Platform for Analytics and Distributed Machine Learning for Enterprises

PADME is our Distributed Analytics (DA) infrastructure that enables a paradigm-shift, in which we bring algorithms to the data instead of vice vers...

Research Projects

PM⁴Onco

[...] "Personalized Medicine for Oncology" (PM⁴Onco) aims to create a permanent infrastructure for the secure use and exchange of data from clinica...

NUM-Codex plus

Development of a nationwide standardised, data protection-compliant infrastructure for the storage and provision of COVID-19 research datasets. Amo...

PrivateAIM

PrivateAIM (Privacy-preserving Analytics in Medicine) is dedicated to bridging the gap between data privacy and medical innovation. Following the "...

Unified Network for International Cancer Advancement (UNICA)

The UNICA project aims to extend the European Cancer Imaging Initiative (EUCAIM) by adding breast, lung, and prostate cancer screening imaging data...

NUM-RDP

The NUM Routine Data Platform (NUM-RDP) project aims to provide a generic routine data platform. "Routine data" here means clinical routine documen...

Open Medical Inference (OMI)

The Open Medical Inference (OMI) platform aims to enable the discovery and use of remote AI services. OMI will develop open medical inference prot...

BETTER

The Better Project is funded by the European Union’s Horizon program and the UK Research and Innovation Program. Its aim is to support the improvem...

NUM-ENRICH

The NUM-ENRICH project - "Extending NUM Research Infrastructures through Collaboration and Harmonization" - enhances the visibility, accessibility,...

Data Innovations in Collaborative Ecosystems for Clinical Domains

Using autosomal dominant polycystic kidney disease (ADPKD) as a reference case, DICE-CD builds a blueprint for data-driven, interoperable clinical ...

NUM DIZ 3.0

The NUM-DIZ project of the Network of University Medicine (NUM) builds on the preliminary work of the Medical Informatics Initiative (MII), within ...

SU-TermServ

MII Service Unit Terminological Services (SU-TermServ) is a project within the grant scheme of the Medical Informatics Initiative (MII) in Germany....

Focus Areas

Data Integration, Interoperability & Standards

High-quality medical AI depends on data that is not only accurate, but also consistent, connected, and usable across systems. Therefore, we focus o...

Research Groups

Distributed Analytics

Mehrshad Jaberansary

Our Distributed Analytics (DA) team focuses on enabling privacy-preserving machine learning on sensitive medical patient data. We develop technologies that allow institutions to collaboratively analyze patient data - such as electronic health records or imaging data - without the need to centrali...

Research Data Management

Susanne Vorhagen

At the Institute for Biomedical Informatics, our Research Data Management (RDM) team FAIRlab Cologne plays a key role in enabling the effective, sustainable, and FAIR (Findable, Accessible, Interoperable, Reusable) handling of medical and biomedical research data. We work closely with researchers...