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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.

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

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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