Opendata, web and dolomites

PERISCOPE SIGNED

Perioperative infection prediction

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 PERISCOPE project word cloud

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

125b    surgical    diagnosis    model    procedure    business    tract    tool    course    ultimate    actually    post    complicated    infection    personal    350    symptoms    recovery    pneumonia    detection    undergo    detected    gt    suitable    complication    50m    some    dutch    5b    accuracy    party    depending    data    ml    ai    80    safe    surgery    calculated    seek    expansion    healthplus    total    outlined    intensify    infectious    almost    operative    enhanced    dataset    proven    right    abdominal    medical    eras    types    25    feasibility    bacteremia    bv    hence    netherlands    scores    people    warning    relatives    patient    plan    risk    prior    infections    suffering    intensive    affordable    shocking    biomarkers    despite    patients    predict    alone    urinary    learning    preventive    efforts    ultimately    wound    leaves    relationships    vendors    approximately    look    90    team    yearly    machine    inpatient    sustainable    trl    varies    days    channels    algorithm    regulatory    scalable   

Project "PERISCOPE" data sheet

The following table provides information about the project.

Coordinator
HEALTHPLUS.AI-IP BV 

Organization address
address: SINGEL 542
city: AMSTERDAM
postcode: 1017 AZ
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 Netherlands [NL]
 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 2019-06-01   to  2019-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HEALTHPLUS.AI-IP BV NL (AMSTERDAM) coordinator 50˙000.00

Map

 Project objective

Some 50M people need to undergo inpatient surgery per year in Europe Yet, despite intensive research efforts, around 25% of surgical patients will experience a complicated recovery with some type of infection on their path: pneumonia, urinary tract infections, wound infections, abdominal infections and bacteremia. Of course, the risk varies depending on the patient and the procedure, but despite efforts like biomarkers, risk scores or devices for early warning/detection, and preventive methods like ‘Enhanced Recovery After Surgery’ (ERAS), the overall risk still leaves almost one in four patients to get an infection within 30-days after surgery.

If we look beyond the personal suffering of patients and relatives, the cost of an infectious complication is estimated at around €10,000 per patient. Hence, total cost in only the Netherlands alone can be calculated at up to €3.5B per year, as approximately 350,000 Dutch patients go through an infection after surgery yearly. Total EU costs are even more shocking at an estimated €125B per year.

Healthplus.ai R&D BV is currently developing an advanced machine-learning (ML) algorithm (TRL level 4) to predict post-operative infections 5 days prior to the average medical team diagnosis, currently already achieving an accuracy of 80%. Through increasing the dataset and taking on more types of data, the ultimate goal is to ultimately achieve >90% accuracy at 5 days before the infectious symptoms on average are actually detected within the patient.

In this proposal, we seek how to go beyond the proven technical feasibility and assess channels to deliver the tool in a safe, affordable and scalable way through third-party vendors with a sustainable business model and plan with the right partnerships and intensify these relationships. Also, potential legal and regulatory issues with EU expansion will be identified, investigated and suitable measures outlined.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PERISCOPE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

ECOBIOMASS (2019)

Achieving unique wines through an efficient production process

Read More  

DetectInMen (2019)

Infection detection in human semen

Read More  

MycoProScale (2020)

MycoProScale – Creating global markets with a unique large-scale Mycorrhiza production method

Read More