News

 

►The ADRD (Alzheimer's Disease and Related Disorders) Conclusions Report from the outGRID - ITU workshop held in Geneva on 21st February is now available, presenting the discussion on current context on ADRD research and funding, current problems and challenges, conclusions and follow-up actions.

 

►A Brain Imaging graduate course is organised by Karolinska Institute for registered students from 19-23 March 2012. Topics of courses will focus on Measurement of Brain Morphology using Magnetic Resonance Images and will be given by various professors. More

 

►Login planned downtime: the 02/19/2012 from 9:30AM to 2PM. Major VOMS upgrade.

 

►The EGI Community Forum in conjuction with the 2nd EMI Technical Conference is taking place on 26-30 March in Munich.

 

►The next N4U Management Meeting is taking place on 21-23 May in Amsterdam.

Highlights

 

European Commission - MEMO

 

Digital Agenda: Europe pools efforts with the USA and Canada to fight Alzheimer's disease

 

Brussels, 23 March 2012 – The diagnosis of Alzheimer's and related diseases has been speeded up, thanks to an EU-funded computing infrastructure of networked research labs, academia and industries.  More

 

 

The outGRID - ITU High-Level Workshop on 20-21 February 2012 successfully ended!

 

The workshop brought together a vast audience of international scientists, policy officers from the European Commission, WHO, ITU and other national and international governing bodies, as well as a number of international third party organisation members and medical professionals. More

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neuGRID is 4 YOU if

You are an image neuroscientists who wants to:
  • run CPU-intensive pipelines on large and extra large datasets of brain scans
  • experiment with the most popular pipelines for brain image analysis
  • benchmark your image analysis pipeline
  • share large and extra large datasets with colleagues

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N4U mission

1. Develop a complete environment to carry out the computational neuroscience experiments that will become commonplace shortly;

2. Address existing research hurdles and gaps by offering a user-friendly environment where neuroscientists can find all the building blocks to optimally exploit large image datasets e.g. the data themselves, sophisticated algorithm pipelines, adequate computational power, appropriate imaging services, statistical and visualization tools, and help and support centre;

3. Fuel innovation through greater understanding of the pathophysiological mechanisms of diseases and development of markers of disease activity and progression ;

4. Lower the barriers for the average neuroscientist to access the e-Science environment of computational neuroimaging, therefore providing equal access opportunities to physicians and researchers;

5. Dramatically boost the drug discovery process for neurodegenerative and other brain diseases.