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.

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

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.)

Colourganisms (2020)

Microbial production of custom-made, pure and sustainable anthocyanins

Read More  

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

APS (2019)

On-site and On-demand Flexible Packaging System

Read More