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.

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

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.)

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  

EggSorter (2019)

Device and method for automatized egg cell inspection and sorting

Read More  

SHERO (2019)

Self-HEaling soft RObotics

Read More