Skip to main content

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

Project description

New software to design patient-specific cancer vaccines

Scientists expect personalised immunotherapy could cure cancer but this involves personalised vaccination – a complicated, time-consuming, costly laboratory process to target a specific case of mutation. For this reason, researchers are developing algorithms to identify immunogenic neoantigens via next generation sequencing (NGS) data from tumour samples. The EU-funded MEDIVAC project aims to support this process by applying the machine learning framework from Oncolmmunity (OI). It provides an opportunity to use several public and other databases to significantly increase the performance of the identification process for relevant neoantigens. This will bring medical science much closer to introducing a promising personalised vaccination for cancer therapy.

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-2

Coordinator

ONCOIMMUNITY AS
Net EU contribution
€ 2 200 406,25
Address
Ullernchausseen 64
0379 Oslo
Norway

See on map

Region
Norge Oslo og Viken Oslo
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 943 031,25