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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.

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

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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