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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.

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

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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