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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.

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

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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