Related Projects

The "virtual patient" has been a dream since many years - the dream can become reality now with the initiative ITFoM.

The revolution of modern medicine is based on many national, European and world-wide activities that contribute to this next generation medicine approach.

 

For the clinical field:

- ECRIN: European Clinical Research Infrastructures Network

- BBMRI: Biobanking and Biomolecular Resources Research Infrastructure

- P³G: Public Population Project in Genomics

- ELIXIR: European Life Sciences Infrastructure for Biological Information

- Swissprot: The manually annotated and reviewed section of the UniProt Knowledgebase (UniProtKB)

- EBI: European Bioinformatics Institute

- Holodeck: Futuristic Visualization and Interaction Technologies

- ISBER: International Society for Biological and Environmental Repositories

- EATRIS: European Advanced Translational Research Infrastructure in Medicine

- GEUVADIS: Genetic European Variation in Disease

- SPIDIA: Standardisation and improvement of generic pre-analytical tools and procedures for in-vitro diagnostics

- ENGAGE: European Network for Genetic and Genomic Epidemiology

- PHGEN 2: Public Health Genomics European Network

- CareVis: Interactive Visualization Methods to support Protocol-Based Care

- Midgaard: Connecting Time-Oriented Data and Information to a Coherent Interactive Visualization

- in2vis: Interactive Information Visualization

 

For the analytical field:

- Treat 1000

- 1000 Genomes Project

- ICGC: International Cancer Genome Consortium

- PGP: Personal Genome Project

- HPR: The Human Protein Atlas

- INSTRUCT: An Integrated Structural Biology Infrastructure for Europe

- ESGI: European Sequencing and Genotyping Infrastructure

- READNA: Revolutionary Approaches and Devices for Nucleic Acid analysis

- IHEC: International Human Epigenome Consortium

- CAGEKID: Cancer Genomics of the Kidney

- Gen2phen: Genotype to Phenotype Database

- VPH: Virtual Physiological Human Network of Excellence

- OncoTrack

- EU Resist: Integration of viral genomics with clinical data to predict response to anti-HIV therapy

 

For the ICT field:

- PASCAL2: Pattern Analysis, Statistical Modelling, and Computational Learning 2