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AI-MICADIS

Artificial Intelligence System for Multi-Cancer Detection Support

Total Cost €

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EC-Contrib. €

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Partnership

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

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.

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

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