Opendata, web and dolomites


Clearance Of Microbial Biofilms by Advancing diagnostics and Therapy

Total Cost €


EC-Contrib. €






 COMBAT project word cloud

Explore the words cloud of the COMBAT project. It provides you a very rough idea of what is the project "COMBAT" about.

association    wealth    therapeutic    modern    promise    stress    variation    invisible    group    chronic    context    burden    resistance    machine    pathogenic    microbial    plethora    alternative    tools    genotype    mortality    interference    suffering    isolates    basic    medical    treatment    improvements    disease    morbidity    effectiveness    domain    services    attempts    committed    holds    bacteria    genomics    combat    perspectives    profiling    despite    solutions    paradigms    interpreted    infections    teach    combination    every    unlock    learning    science    acute    strategies    pseudomonas    unsuccessful    remained    dataset    patterns    prediction    eradicate    biofilm    gene    genome    biology    billion    calls    healthcare    strive    decades    last    molecular    uses    microbiological    diagnostics    patients    national    unchanged    unprecedentedly    pioneer    expression    innovative    bacterial    infection    sequence    transform    antimicrobials    emergence    data    aeruginosa    meet    clinical    smaller   

Project "COMBAT" data sheet

The following table provides information about the project.


Organization address
postcode: 38124

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙998˙750 €
 EC max contribution 1˙998˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-COG
 Funding Scheme ERC-COG
 Starting year 2017
 Duration (year-month-day) from 2017-05-01   to  2022-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Every year chronic infections in patients due to biofilm formation of pathogenic bacteria are a multi-billion Euro burden to national healthcare systems. Despite improvements in technology and medical services, morbidity and mortality due to chronic infections have remained unchanged over the past decades. The emergence of a chronic infection disease burden calls for the development of modern diagnostics for biofilm resistance profiling and new therapeutic strategies to eradicate biofilm-associated infections. However, many unsuccessful attempts to address this need teach us that alternative perspectives are needed to meet the challenges. The project is committed to develop innovative diagnostics and to strive for therapeutic solutions in patients suffering from biofilm-associated infections. The objective is to apply data-driven science to unlock the potential of microbial genomics. This new approach uses tools of advanced microbiological genomics and machine learning in genome-wide association studies on an existing unprecedentedly large dataset. This dataset has been generated in my group within the last five years and comprises sequence variation and gene expression information of a plethora of clinical Pseudomonas aeruginosa isolates. The wealth of patterns and characteristics of biofilm resistance are invisible at a smaller scale and will be interpreted within context and domain-specific knowledge. The unique combination of basic molecular biology research, technology-driven approaches and data-driven science allows pioneer research dedicated to advance strategies to combat biofilm-associated infections. My approach does not only provide a prediction of biofilm resistance based on the bacteria´s genotype but also holds promise to transform treatment paradigms for the management of chronic infections and by interference with bacterial stress responses will promote the effectiveness of antimicrobials in clinical use to eradicate biofilm infections.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "COMBAT" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "COMBAT" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

NanoPD_P (2020)

High throughput multiplexed trace-analyte screening for diagnostics applications

Read More  

TALNET (2020)

Transparent Aluminium Networks

Read More  

SuperH (2019)

Discovery and Characterization of Hydrogen-Based High-Temperature Superconductors

Read More