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Machine learning software to design personalized neoantigen vaccines tailored to specific vaccine delivery systems

Objective

Cancer remains a leading cause of disease and death worldwide. An estimated 14m new cancer cases were diagnosed in 2012 and 22m are predicted by 2023. Immunotherapy and particularly personalized neoantigen-based vaccines represent an exciting new weapon in the war against cancer, as they are specific to the tumor and potentially safer and more effective than other types of treatment. However, the design of neoantigen-based cancer vaccines is currently hampered by an inability to reliably select immunogenic neoantigens using the existing technologies.
OncoImmunity proposes to develop disruptive software - MEDIVAC - for the rapid and intelligent design of neoantigen-based personalized cancer vaccines, tailored to specific vaccine deliver systems (VDS). The software will leverage a machine-learning framework being developed at OncoImmunity that addresses key prediction gaps in the field of neoantigen discovery. Preliminary testing of MEDIVAC´s prediction engine reveals that it can identify immunogenic neoantigens with an unprecedented level of accuracy, and at a fraction of the time and cost of competing wet-lab methodologies. The MEDIVAC technology will enable personalized cancer vaccine companies to make safer more efficacious vaccines in an affordable and clinically actionable timeframe, and will consequently help revolutionize the treatment of cancer.
We believe the SME instrument is the ideal funding vehicle to enable OncoImmunity to overcome the remaining barriers to the market and establish the company as the leading provider of software solutions for guiding the design of cancer vaccines. Furthermore, the MEDIVAC software will help nurture and improve the competitiveness of European companies in the rapidly growing personalized cancer vaccine market, and ultimately help Europe to tackle a global cancer epidemic.

Fields of science (EuroSciVoc)

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

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.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2016-2017

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Coordinator

NEC ONCOIMMUNITY AS
Net EU contribution

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.

€ 50 000,00
Address
ULLERNCHAUSSEEN 64
0379 OSLO
Norway

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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.

€ 71 429,00
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