Project description
AI platform to improve animal management and husbandry
Antler Bio uses epigenomics to enhance animal health, efficiency, and performance by analysing gene activity and environmental factors. This technology enables precise adjustments for the natural improvement of livestock production. In this context, the EU-funded EPIHERD project is dedicated to developing an AI platform tailored for farmers to enhance animal management and husbandry. It assesses performance against its potential, identifies emerging health disorders, and aids in strategic selection for breeding and production. Initially proven in equine applications, the technology has been successfully transferred to bovine. The project collaborates with organisations and farms in Finland, incorporating feedback into its development. However, a challenge persists in the form of the cost associated with acquiring gene expression data.
Objective
Antler Bio is a deep tech company that supports animal health, efficiency, and performance through epigenomics. We have developed a novel technology and concept, which data is powerful enough to change livestock and agricultural industries for the better, to meet the global goals for a more sustainable future. We are tapping the currently underexplored data of epigenomics, analysing which crucial genes linked to health and production in livestock are active (expressed) and which are silent. Furthermore, the environmental factors, such as habitat, animal husbandry and feed affect gene expression. Understanding this data allows precision-adjustments to increase well-being and production in a natural way. To deliver this data to dairy farmers, we are developing EPIHERD an AI-platform, currently at TRL5, that aims to help farmers: analyse herd performance against its actual potential, improve animal management and husbandry in a targeted way, strategically select individuals for breeding and production and detect developing health disorders before symptoms arise. With substantial proof in equine and having successfully transferred the technology to bovine we now collaborate closely with key organisations and selected farms in Finland to widen our epigenomic database and develop the platform based on farmer feedback. Being an early-stage deep tech company, struggling to find adequate funding, the cost of acquiring the gene expression data is currently our greatest challenge, hindering growth and expansion. If we were to be supported by the Women TechEU programme, we will execute the plan outlined in this proposal to collaborate closely with 6 Danish dairy farms, enabling us to diversify our epigenomic database and capture crucial feedback that will influence platform and service development. The programme would also impact Antler Bio through offering support, that will help me develop and grow as a CEO, which will reflect on the performance and success of the company.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- agricultural sciences animal and dairy science dairy
- social sciences economics and business economics production economics productivity
- agricultural sciences animal and dairy science domestic animals animal husbandry
- natural sciences biological sciences genetics epigenetics
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.3.2 - European innovation ecosystems
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-CSA - HORIZON Coordination and Support Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-EIE-2022-SCALEUP-02
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
D24 E029 DUBLIN
Ireland
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.