Opendata, web and dolomites

AI-MICADIS

Artificial Intelligence System for Multi-Cancer Detection Support

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 AI-MICADIS project word cloud

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

solution    deep    big    unfortunately    biomarkers    53    extract    optimize    detect    generation    cancer    progression    stages    undiagnosed    extremely    tool    biopsies    health    tests    microarray    8b    feasibility    diagnostics    sensitivity    variety    earliest    accurate    molecular    leverage    action    profiles    governments    small    optimizing    tools    dna    ground    smei    disappointing    regulatory    circulating    competitor    artificial    diagnostic    detection    sequencing    time    people    rates    accuracy    market    romanian    simpler    opportunity    patients    expert    premature    cagr    liquid    organization    need    stage    intelligence    8m    start    data    urging    fuelled    powerful    cells    transition    micadis    drives    die    screening    perform    company    models    mortality    strategy    fast    diagnosis    patient    micrornas    ai    collection    ngs    73    tumour    business    keeps    world    reduce    2022    microrna    machine    involvement    infringes    aie    accelerate    cancers    learning    competition    diagnoses    survival    healthcare    instead    breaking   

Project "AI-MICADIS" data sheet

The following table provides information about the project.

Coordinator
ARTIFICIAL INTELLIGENCE EXPERT SRL 

Organization address
address: STRADA ALEXANDRU VLAHUTA, BLOC LAMA C, AP.45
city: CLUJ NAPOCA
postcode: 400310
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 Romania [RO]
 Project website http://www.researchforindustry.ro/site/viewCompany/1066
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2019-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ARTIFICIAL INTELLIGENCE EXPERT SRL RO (CLUJ NAPOCA) coordinator 50˙000.00

Map

 Project objective

Need – Each year, over 8M people die of cancer and now the World Health Organization is urging governments to accelerate action to reduce premature mortality. The stage of a cancer progression at the time of diagnosis is strongly associated with patient survival. Unfortunately, the current diagnostic tests and screening tools have very disappointing accuracy rates and many patients remain undiagnosed.

Solution – Artificial Intelligence Expert (AIE) is a Romanian start-up company with a ground-breaking solution that will enable early diagnoses and screening for a wide variety of cancers. AIE aims to leverage the fast transition to liquid biopsies, microarray and next generation sequencing (NGS) for molecular diagnostics. AIE can detect cancer at the earliest stages by using circulating microRNAs instead of the commonly used circulating tumour DNA or circulating cancer cells. AIE is developing an extremely accurate diagnostic tool for detection of the earliest stages of cancer progression using powerful Deep Learning Artificial Intelligence to analyse microRNA profiles from microarray and next generation sequencing (NGS) data.

Market opportunity – The fast increase of big data collection and the associated need to extract knowledge from it drives the AI in healthcare market, which is growing at a CAGR of 53% to $8B by 2022. This market growth is fuelled by a strong growth of the NGS diagnostic market, which is growing at a CAGR of 73%.

Competition – The competition is focusing on optimizing currently used circulating tumour DNA detection tools and simpler machine learning models, that extract a small number of meaningful biomarkers. This keeps the competitor’s data processing needs low, but infringes on the tests’ accuracy and sensitivity.

Feasibility assessment – AIE will use the SMEi phase 1 funding to identify partnerships, perform user involvement study, set out a regulatory path, and optimize the best business strategy to bring the AI-MICADIS to the market.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "AI-MICADIS" 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 (fabio@fabiodisconzi.com) 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 "AI-MICADIS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More  

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More