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.

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

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.)

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  

Skye (2018)

Redefining Drone Safety and Autonomous Operation for Indoor Commercial Applications

Read More  

Osto.Me (2020)

Ostomy Market Disruption: First Leak Proof Ostomy Appliance removing the need for Accessories in the Ostomy Market

Read More