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.

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

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.)

DNA DS (2019)

DNA Data storage

Read More  

ERGOVIAkinematix (2018)

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

Read More  

Magnesys (2019)

Efficient filtering of metallic impurities in food processing

Read More