GenoMed4All - Genomics and Personalised Medicine for all through Artificial Intelligence in Haematological Diseases -  is a new ambitious European project, recently selected and granted by the European Commission under the Horizon 2020 Research & Innovation programme.

GENOMED4ALL will support the pooling of genomic, clinical data and other “-omics” health data (data EHR, PET, MRI and CT , Next Generation Sequencing, Microarray, Genome Wide Association, Copy Number Variations, DNA sequencing, RNA sequencing, including single cell, etc.) through a secure and privacy respectful data sharing platform based on the novel Federated Learning scheme, to advance research in personalised medicine in haematological diseases thanks to advanced novel AI models and standardized sharing of cross-border data.

GENOMED4ALL will demonstrate the potential and benefits of trustable and explainable AI technologies, with a novel approach to AI models and algorithms using AI advanced deep learning, variational autoencoders, generative models, besides combining with advanced statistical and Machine learning processes approaches to exploit the powerful set of “-omics” data which will be at researchers’ disposal.

In the GENOMED4ALL project, Cineca will contribute with its own reference HPC infrastructures supporting the project and with expertise in the field, in particular CINECA will liaise the Consortium to the European Open Science Cloud initiative.

For the GENOMED4ALL project, CINECA is interested in continuing the extension and the reach of his own shared HPC infrastructures, supporting the Clinical research community. The set-up and scale-up of a dedicated AI European Infrastructure will broaden the user base of computing resources and will allow to develop and validate AI models in the field for the migration from project oriented to service-oriented compute resource provisioning. The experience gained with the definition of the GENOMED4ALL architectural design will serve as a potential input for the characterisation of new services to be exploited by the scientific and industrial community at large.

data chiusura progetto
  1. Universidad Politecnica De Madrid Upm Spain
  2. Life Technologies Gmbh Tf - Lt Germany
  3. Dxc Technology Servicios Espanasl Dxc Spain
  4. Datawizard Srl Dw Italy
  5. Australo Interinnov Marketing Lab Sl Aus Spain 
  6. The European Institute For Innovation Through Health Data I-hd Belgium 
  7. Humanitas Mirasole Spa Ich Italy
  8. Fundacio Hospital Universitari Vall D'hebron - Institut De Recerca Vhir Spain
  9. Assistance Publique Hopitaux De Paris Ap-hp France
  10. Mll Munchner Leukamielabor Gmbh Mll Germany
  11. Universitair Medisch Centrum Utrecht Umc Utrecht Netherlands
  12. Gerencia Regional De Salud De Castilla Y Leon Grs-ibsal Spain
  13. The Cyprus Foundation For Muscular Dystrophy Research Cing Cyprus
  14. Universita Degli Studi Di Padova Unipd Italy
  15. Universitaet Leipzig Ul Germany
  16. Ethniko Kai Kapodistriako Panepistimio Athinon Nkua Greece
  17. Alma Mater Studiorum  Universita Di Bologna Unibo Italy
  18. Kobenhavns Universitet Ucph Denmark
  19. Fundacio Centre De Regulacio Genomica Crg Spain
  20. Universita Degli Studi Di Torino Unito Italy
  21. Idryma Technologias Kai Erevnas Forth Greece
  22. Chambre De Commerce Et D'industrie De Region Paris Ile-de france
  23. Cineca Consorzio Interuniversitario


Finanziamenti e tempistiche

H2020-SC1-FADTS- 2020-1 - topic DT-TDS-04-2020 AI for Genomics and Personalised Medicine  - grant agreement n 101017549




Unione Europea