In the new European research project 3D’omics, researchers aim to address major challenges in animal production by creating and optimising a technology to analyse animal-microbiota interactions at the microscale. The developed technology will be implemented in two production systems, namely poultry...
Coordinator: Antton Alberdi (University of Copenhagen, Denmark)
Genomics and Personalised Medicine for all through Artificial Intelligence in Haematological Diseases
GenoMed4All is a joint initiative selected and granted by the European Commission under the Horizon 2020 Research & Innovation programme. It will develop a secure and private data sharing platform based on Federated Learning for the pooling...
Coordinator: Federico Álvarez (UPM, Spain)
Infraestructura de Medicina de Precisión asociada a la Ciencia y Tecnología
IMPaCT is an initiative of the Instituto de Salud Carlos III including three programs: Predictive Medicine, Genomic Medicine and Data Science. The CNAG-CRG will play an essential role in the Genomic Medicine program, coordinated by Ángel Carracedo from the CIBER for Rare Diseases. The objective is...
Coordinator: Ángel Carracedo, CIBERER; Alfonso Valencia (BSC), Spain
Training of computational proteomics researchers
PROTrEIN is a European Innovative Training Network composed of 11 beneficiaries, and 6 partner organizations, from the academic and non-academic sectors (including two SMEs and two large companies). The international consortium will be led by Eduard Sabidó, Head of the Proteomics Unit of the CRG...
Coordinator: Eduard Sabidó (CRG, Barcelona)
The GENPIR Project tries to reveal the recent history of the populations of the Catalan Pyrenees, studying the genetic material of its inhabitants. This geographical area has been an important transit area in historical times, which could have left distinctive signs in the genetic composition of...
Coordinator: Oscar Lao (CNAG-CRG), Joan Fibla (UdL) and Pedro Moral (UB)
Parameterisation of large scale cancer models for personalised therapy of triple negative breast cancer
The development of computational models to predict drug response and enhance understanding of cancer onset and progression based on an individual’s molecular profile, is providing new opportunities for personalised medicine in oncology. Computational models based on ordinary differential equations...
Coordinator: Hans Lehrach (MPI MolGen, Germany)

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