Opendata, web and dolomites

Symptoma SIGNED

Symptoma, Better Diagnosis for Patients with Rare and Complex Diseases

Total Cost €


EC-Contrib. €






 Symptoma project word cloud

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

solving    wait    quality    outdone    diagnoses    barriers    decision    asking    symptoms    mission    right    leaves    decades    technological    human    proceeded    time    pilot    cognitively    willingness    list    reducing    enter    blind    40    misdiagnoses    spent    free    harm    settings    societal    bar    counteracting    misdiagnosis    engine    deep    unmet    competitive    attain    cognitive    globally    rate    overcoming    20k    solution    satisfied    advantage    unacceptable    persist    patient    demonstrated    deaths    750    profit    opportunity    learning    sorted    com    receive    total       ranging    pay    language    budgets    inaccurate    diagnosis    save    companies    overwhelm    errors    spot    lives    accuracy    had    demand    paradigm    devastating    err    matching    suffer    30    wasted    diagnostic    million    don    446    probability    diseases    health    business    intelligence    continue    search    patients    customers    dealing    questions    care    causes    first    10    doctors    symptoma    pushing    delivering    22    shown    rare    capitalize    healthcare    medicine    billion    delayed    competitors    tools   

Project "Symptoma" data sheet

The following table provides information about the project.


Organization address
address: NEUHOFEN 5
postcode: 4864
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 Austria [AT]
 Project website
 Total cost 2˙282˙000 €
 EC max contribution 1˙597˙400 € (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-2018-2020-2
 Funding Scheme SME-2
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    SYMPTOMA GMBH AT (ATTERSEE) coordinator 1˙597˙400.00


 Project objective

'OUR MISSION is to save 1.5 million lives globally each year by delivering the right diagnosis. SOCIETAL PROBLEM: To err is human. But in medicine, errors cost lives. 'The delivery of health care has proceeded for decades with a blind spot: Diagnostic errors - inaccurate or delayed diagnoses - persist throughout all settings of care and continue to harm an unacceptable number of patients.' - Institute of Medicine. Studies have shown a devastating rate of misdiagnoses ranging from 10 to 40%. Diagnostic errors cause 10% of patient deaths. 20k diseases cognitively overwhelm doctors. Only 3% of doctors are satisfied with existing research tools. Misdiagnoses account for €446 billion in wasted costs in the EU and $750 billion in the US. Solving misdiagnosis could free up 30% of total healthcare budgets globally. Patients with rare diseases suffer most. 22 of 30 million patients with rare diseases in the EU don’t have their diagnosis yet, and 8 million had to wait 10 years in average. This leaves doctors and patients with a high unmet need. SOLUTION: is a free search engine for diseases. Users enter symptoms and receive a list of matching causes – sorted by probability. COMPETITIVE ADVANTAGE: Symptoma’s diagnostic accuracy has outdone all competitors’ raising the bar for this field as first and only viable solution. We have demonstrated (1) technological success, (2) high demand, and (3) willingness to pay for our solution operating at a profit with pilot customers. OUR GOAL is to improve diagnostic quality while reducing cost and time spent. We will attain this goal by pushing Symptoma to the next level by (deep) learning from search behaviour, asking questions (cognitive intelligence), and overcoming language barriers. This project is the first step towards a new paradigm of diagnostic decision making. We will fully capitalize on the business opportunity counteracting misdiagnoses for companies dealing with rare diseases.'


List of deliverables.
D2.2 Release question sequences derived from deep learning algorithms. Demonstrators, pilots, prototypes 2020-01-14 16:40:45

Take a look to the deliverables list in detail:  detailed list of Symptoma deliverables.


year authors and title journal last update
List of publications.
2019 DGIM
published pages: 1085-1085, ISSN: 0012-0472, DOI: 10.1055/a-0954-8989
DMW - Deutsche Medizinische Wochenschrift 144/15 2019-11-22
2019 J. Nateqi, S. Lin, H. Krobath, S. Gruarin, T. Lutz, T. Dvorak, A. Gruschina, R. Ortner
Vom Symptom zur Diagnose – Tauglichkeit von Symptom-Checkern
published pages: 334-342, ISSN: 0017-6192, DOI: 10.1007/s00106-019-0666-y
HNO 67/5 2019-11-18

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

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