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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.

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

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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