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MrDoc SIGNED

Development and commercialization of a semi-supervised learning AI for robust diagnosis in real world settings.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 MrDoc project word cloud

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

inputs    companies    limited    data    limitations    economies    positive    cured    dataset    cardiovascular    healthcare    people    supervised    incomplete    solutions    final    producers    invasiveness    noisy    check    technological    glucose    original    huge    hypertension    consumers    ai    simply    selling    circuit    communicable    examinations    owners    diabetes    software    egcs    symptoms    examination    time    licence    health    patients    signals    death    labelled    consume    difficulties    variability    timeframe    overcoming    world    tools    negative    medical    usually    amounts    pharmaceutical    creative    heart    practitioners    burden    accuracy    human    platform    diseases    semi    rate    pressure    dirty    detection    camera    interpret    imagination    learning    mimics    tests    arrhythmia    biometric    diagnose    providers    gp    closed    electronics    advancements    ing    despite    blood    discouraged    solution    accurate    additional    labelling    non    positively    smartphone    financial    led    apps    local    train    false    don    cardiac    smartphones    haemoglobin    hardware    errors    ncds    detect    cameras    waiting   

Project "MrDoc" data sheet

The following table provides information about the project.

Coordinator
MR DOC SRL 

Organization address
address: VIA PIETRO BLASERNA 40
city: ROMA
postcode: 146
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 Italy [IT]
 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 2019-08-01   to  2020-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MR DOC SRL IT (ROMA) coordinator 50˙000.00

Map

 Project objective

Non-communicable diseases such as cardiovascular diseases, diabetes, are by far the leading cause of death in the world and a growing burden for patients, healthcare providers and local economies. Despite many NCDs conditions like cardiac arrhythmia, diabetes, hypertension can be cured with early detection, they don’t often show symptoms. During their medical check-up, medical practitioners (GP) can’t be accurate as specific examinations (e.g. EGCs, blood tests), resulting in a growing number of errors or false negative/positive, which represent for Healthcare systems and additional financial burden. People are usually discouraged from doing specific examination due to long waiting time, invasiveness of medical tests and additional costs.Even if technological advancements have led to AI based easy-to-use solutions able to contribute positively to easy and early detection of diseases and pre-diseases condition, they come along with many significant limitations, such as the need to train on huge amounts of labelled data and difficulties in managing inputs that are noisy, incomplete or simply different from the original dataset (such data generated from a smartphone camera).This results in limited accuracy or significant costs and time consume for labelling of data. We have developed a platform based on a semi-supervised learning AI, able to analyse and interpret medical dataset through a process that mimics human creative imagination and, in a very short timeframe, detect and diagnose some NCDs and biometric parameters (blood pressure, Heart rate variability, haemoglobin, blood glucose) from “dirty” signals, generated by consumer electronics devices (smartphones, closed circuit cameras, etc.), with a high level of accuracy overcoming existing limitations.We aim at selling and licence our solution to 3 main targets: - final consumers/patients, - producers/owners of software and hardware tools (as well as Apps) in Health sector, Pharmaceutical companies.

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The information about "MRDOC" are provided by the European Opendata Portal: CORDIS opendata.

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