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Fish-AI SIGNED

Developing an Artificial Intestine for the sustainable farming of healthy fish

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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.

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The information about "FISH-AI" are provided by the European Opendata Portal: CORDIS opendata.

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