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PATHOLYTIX-GI

PATHOLYTIX: Using Artificial Intelligence to Transform Clinical Diagnostic Pathology

Total Cost €

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EC-Contrib. €

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Partnership

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 PATHOLYTIX-GI project word cloud

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

revolutionize    deciphex    workflow    laborious    reduce    company    instrument    direct    innovative    reducing    performed    purpose    automate    hence    centuries    validation    cancer    aided    solution    feasibility    interface    prevalence    alleviate    diagnosis    tissues    patients    prototype    clinical    biopsies    preliminary    population    big    markets    techniques    pathology    artificial    pilot    faces    clinics    extensive    knock    streamline    cad    effect    intelligence    transforming    fit    medical    coupled    pathologist    expert    market    individual    industry    competition    data    irish    tool    components    patholytix    millions    regards    pathologists    worldwide    uses    additional    global    perform    framework    types    ltd    costly    cell    competitors    trained    sme    microscope    becomes    productivity    pathological    hospitals    hundreds    crises    soaring    leader    computer    decreasing    undergo    diseases    tissue    efficient    routine   

Project "PATHOLYTIX-GI" data sheet

The following table provides information about the project.

Coordinator
DECIPHEX LIMITED 

Organization address
address: 7 GARRAI NA GCRANN
city: MORNINGTON MEATH
postcode: n.a.
website: n.a.

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 Ireland [IE]
 Project website http://www.deciphex.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3.1.4. (Active ageing and self-management of health)
2. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.3.1.6. (Health care provision and integrated care)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-12-01   to  2018-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DECIPHEX LIMITED IE (MORNINGTON MEATH) coordinator 50˙000.00

Map

 Project objective

Routine diagnosis on biopsies and tissues is performed by expert pathologists. However, the pathology sector faces a major crises, due to soaring numbers of biopsies for diagnosis, coupled with decreasing numbers of trained pathologists, which is affecting patients. Technology can alleviate this crises by using computer aided diagnosis (CAD) to increase productivity, reduce costs and streamline workflow.

Deciphex Ltd is an Irish company developing an innovative Computer Aided Diagnosis (CAD) system which will revolutionize the medical diagnosis pathology sector. Our ‘PATHOLYTIX’ system uses state-of-the-art artificial intelligence techniques to automate the laborious and costly pathology assessment (currently done via microscope). By transforming this centuries old clinical practice, we aim to become a market leader in new CAD industry.

We currently have prototype technology and preliminary data, to identify different tissue and cell types. In this feasibility study we will perform pilot studies in a US based clinical pathologist, to demonstrate our tool can identify various diseases. In Phase 2 of the SME Instrument, we will undergo additional development, extensive validation, and build the data management framework and user interface.

There is a large global target market for PATHOLYTIX, which is growing each year driven by an increasing population and higher prevalence of diseases (such as cancer). Hence hospitals and clinics worldwide process hundreds of millions of biopsies per year. With regards to competitors, there is no direct competition. Competitors offer individual components of the pathological workflow, not fit-for-purpose solution like PATHOLYTIX.

Overall, PATHOLYTIX would have a big impact on the pathology sector, by increasing productivity and reducing costs. This should have a knock on effect for the global and EU markets, particularly for patients as diagnosis becomes more efficient.

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The information about "PATHOLYTIX-GI" are provided by the European Opendata Portal: CORDIS opendata.

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