Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. spectrahow

SpectraHow

SpectraHow. Smart Raman sensor to speed up biopharma manufacture

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0
 Outcomes and results

 SpectraHow project word cloud

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

raman    automate    acquire    algorithms    data    time    commercialization    revenues    party    trl6    quantify    environment    billion    generate    20    145    effort    models    reduce    fine    off    interface    founded    global    biopharma    2026    usability    tune    manufacture    model    cheaper    spectra    biopharmaceuticals    spin    forecast    algorithmic    decision    datahow    toolbox    bio    months    pharma    z    million    reducing    machine    35    14    2017    tested    risks    expand    solution    commercial    representing    precision    procedure    biopharmaceutical    accelerate    8    nevertheless    handling    train    pressure    booming    predictive    graphical    accurate    accurately    amounts    enabled    algorithm    valued    spectroscopy    smaller    corresponding    compatibility    calibration    tools    jobs    2015    scalable    direct    dynamics    today    automated    market    consistent    learning    spectrahow    digital    conventional    automatically    doubles    21    companies    rate    eth    translate    techniques    faster    uuml    software    solutions   

Project "SpectraHow" data sheet

The following table provides information about the project.

Coordinator		 DATAHOW AG 

Organization address
address: VLADIMIRPRELOG WEG 1
city: ZURICH
postcode: 8093
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 Switzerland [CH]
 Project website https://www.datahow.ch
 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 2019-07-01   to  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DATAHOW AG CH (ZURICH) coordinator 50˙000.00

Map

 Project objective

Today, biopharmaceuticals generate global revenues of €145 billion, representing about 20% of the pharma market. The growth rate of biopharma, 8%, currently doubles that of conventional pharma. However, biopharma companies are facing an increased pressure for cheaper process development, faster time to market as well as more consistent production (reducing failure). Raman spectroscopy is a promising technology to improve bio processing and manufacture. Nevertheless, the corresponding data analysis of the complex spectra in biopharma is more challenging that conventional pharma, taking 2-5 months in order to acquire enough data and train a reliable predictive model. Founded in 2017, DataHow is a spin-off from the ETH Zürich, with the aim to accelerate biopharmaceutical process development and reduce risks in production through advanced algorithm-enabled digital solutions; SpectraHow is our scalable software based on advanced machine learning techniques, capable of accurately handling the large amounts of data generated, to automatically quantify the process dynamics and translate the information into direct decision support. Our algorithmic toolbox at TRL6 has been already tested in operational environment for different processes with several pharma companies, with a precision of up to 35% more accurate compared to commercial tools, and a smaller effort due to our automated calibration procedure. Next steps to take forward SpectraHow to commercialization are: improve usability with a Graphical User Interface, fine-tune our models and algorithms to further automate analysis, and show compatibility of our solution with third-party software tools to expand its functionality from R&D to production and to other spectroscopy techniques. In the booming Raman for pharma market valued at 2.5 billion in 2015, we forecast generate €21 Million in revenues in 2026 while creating 14 new jobs.

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

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More  

DeltaQon (2019)

IOT and cloud computing for online medical analysis service platform

Read More