ICT for BIO-Medical Sciences 2006

Charlemagne Building, Brussels, 29-30 June 2006

The conference is organised by the European Commission DG Information Society and Media and DG Research and with the support of three roadmapping projects of DG INFSO (SYMBIOMATICS, STEP & SHARE).

The conference will focus on topics that lie at the cross roads of Information & Communication Technologies (ICT) research and life science research, namely:

  • Multilevel modelling and simulation of human physiology and disease related processes
  • Biomedical informatics
  • Biomedical imaging
  • Healthgrid – Grid based health information infrastructure and applications
  • Bio inspired Information and Communication Technologies

The aim of the event is to present the achievements to date and to discuss further challenges that could be addressed by the 7th Framework programme (FP) of the European Community for Research, Technological Development and Demonstration.

Special attention will be given to the communication of the benefits of such technologies and applications and their impact on every day life and on the economy.

The conference is open and will be of particular interest to scientists, those involved in research policy and industry.

During the event current projects from different priority areas of the 6th FP will meet and discuss on the ongoing research.

Prior Registration is mandatory and should be done as soon as possible due to limited space. Furthermore, as the number of seats in the meeting rooms is limited, the Commission reserves the right to confirm, on a free selection basis, only as many registrations as seats available.

Please visit the ICT for BIO-Medical Sciences 2006 website regularly as it will be kept updated until the date of the conference.

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...

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 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...

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...