Opendata, web and dolomites

Fish-AI SIGNED

Developing an Artificial Intestine for the sustainable farming of healthy fish

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 Fish-AI project word cloud

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

substantial    plays    alternative    notions    groups    ai    sustainable    livestock    physiology    lack    limits    biology    biological    capacity    chronic    culture    demand    cells    technologies    generates    continued    individual    benefits    sources    source    create    healthy    aquafeeds    society    nutrition    fatty    mechanisms    competitiveness    functional    material    prototype    grow    generation    population    nutritional    intestine    mechanistic    final    hoc    ad    animals    life    understand    fosters    mimics    platform    combining    quality    contributes    intestinal    accurately    expensive    diseases    nutrients    balanced    mucosa    bioengineering    sustainability    fish    feed    industry    effect    differentiate    predicting    cell    fundamental    synergy    severely    largely    aquaculture    environmental    epithelial    acids    substantially    omega    combinations    single    diet    purpose    proteins    cellular    of    components    marine    fertilisation    meal    perspective    health    cross    fishmeal    scaffold    oil    artificial    predict    stem    innovative    complete    prolong    lengthy    functions    3d    obvious    raw    biomaterials    move    molecular    feeds    preventing    farmed   

Project "Fish-AI" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI MILANO 

Organization address
address: Via Festa Del Perdono 7
city: MILANO
postcode: 20122
website: www.unimi.it

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 2˙998˙650 €
 EC max contribution 2˙998˙650 € (100%)
 Programme 1. H2020-EU.1.2.1. (FET Open)
 Code Call H2020-FETOPEN-2018-2019-2020-01
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-04-01   to  2023-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI MILANO IT (MILANO) coordinator 616˙250.00
2    ISRAEL OCEANOGRAPHIC AND LIMNOLOGICAL RESEARCH LIMITED IL (HAIFA) participant 554˙025.00
3    NORGES MILJO-OG BIOVITENSKAPLIGE UNIVERSITET NO (AS) participant 516˙250.00
4    BIOFABICS LDA PT (PORTO) participant 492˙500.00
5    UNIVERSITEIT GENT BE (GENT) participant 445˙625.00
6    SKRETTING AQUACULTURE RESEARCH CENTRE AS NO (STAVANGER) participant 374˙000.00

Map

 Project objective

A healthy, balanced diet has a fundamental role in preventing a large range of chronic diseases and contributes to prolong life quality with obvious benefits for the individual as well as for the society. Aquaculture production plays a substantial role in this perspective because fish is an important source of well-balanced proteins and important nutrients such as marine-derived omega-3 fatty acids. However, its sustainability generates concerns as farmed fish diet is largely based on fishmeal and fish oil. Consumer and environmental groups demand a continued move towards alternative feeds. Objective of this project is to develop a next generation 3D culture platform that accurately mimics the complex functions of the intestinal mucosa. Its purpose is to make available a technology for predicting the health and nutritional value of innovative components of aquafeeds. Current methods are lengthy, expensive and requires the use of large number of animals. Furthermore, they do not provide the knowledge of the cellular and molecular mechanisms determining the final effect of each meal on the fish. This lack of mechanistic knowledge severely limits our capacity to understand and predict the biological value of the single raw material and of their different combinations. We propose to develop new ad hoc biomaterials to create a 3D scaffold where to grow and differentiate a complete population of intestinal epithelial cells. Combining state of the art notions on fish nutrition will lead to a fully functional prototype of artificial intestine (Fish-AI) that will enable the feed industry to predict accurately and efficiently the health and nutritional value of alternative feed sources substantially improving European aquaculture sustainability and competitiveness. The project fosters cross-fertilisation and synergy among nutrition physiology, bioengineering, cell and stem cell biology to develop innovative technologies for a sustainable livestock production.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FISH-AI" 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 "FISH-AI" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.2.1.)

BioProMarL (2019)

Bio-inspired Protection of Marble with Lasers

Read More  

QUEFORMAL (2019)

Quantum Engineering for Machine Learning

Read More  

PANACHE (2020)

Production of next generation modulators of pannexins and connexins as novel therapeutics in the treatment of inflammatory cardiovascular, hepatic and joint diseases.

Read More