First Projects Launched Under FP7 Now Profiled on CORDIS

One year into the Seventh Framework Programme (FP7) and action is well underway, with the third call for proposals currently active. Information on the first projects accepted for funding under FP7 has now also been published on CORDIS, the EU's official information service for research and development.

The profiles of 133 projects in the ICT research theme are now available online, with projects in nanoelectronics, software and security represented. The first call for project proposals represented a total budget of just over €1 billion.

More project profiles will be published on CORDIS as information becomes available, throughout 2008.

The new FP7 projects can be consulted by selecting the 'Programme acronym' FP7-ICT in the CORDIS Search at: http://cordis.europa.eu/search/index.cfm?fuseaction=proj.advSearch

Dedicated project search interfaces for the FP7 and ICT services are currently under development. For information on new calls see the FP7 service, and in particular for ICT, see http://cordis.europa.eu/fp7/ict/

Copyright ©European Communities, 2008
Neither the Office for Official Publications of the European Communities, nor any person acting on its behalf, is responsible for the use, which might be made of the attached information. The attached information is drawn from the Community R&D Information Service (CORDIS). The CORDIS services are carried on the CORDIS Host in Luxembourg - http://cordis.europa.eu. Access to CORDIS is currently available free-of-charge.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI, Health, and Health Care Today and To…

Artificial intelligence (AI) carries promise and uncertainty for clinicians, patients, and health systems. This JAMA Summit Report presents expert perspectives on the opportunities, risks, and challenges of AI in health...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...