Online Direct Webcasting of the ICT-BIO 2008 Event

22 - 23 October 2008, Brussels, Belgium.
For those who could not join the ICT-BIO 2008 in Brussels can still benefit from the high level speakers' presence and discussions via the webcasting put in place. The conference will take place over 2 days. Each day will start with a plenary session featuring high-level policy speakers including EU Commissioners, prominent scientists and international funding agency representatives from the EU, US and beyond.

In the afternoon, parallel sessions will focus on themes incorporating ICT and life sciences such as multi-scale modelling in cancer research, heart and cardiovascular diseases, muscular-skeleton systems, and ageing.

In parallel, a workshop will take place on the 23-24 October at the same venue as ICT BIO 2008. It is co-sponsored by the European Commission and the NIH National Cancer Institute (NIH-NCI). Supported in part by NIH-NCI’s Center for the Development of a Virtual Tumor (CViT), the first transatlantic workshop on Multi-scale Cancer Modelling will focus on topics related to computational and mathematical cancer modelling. CViT is part of the Integrative Cancer Biology Program (ICBP) that seeks to develop research centres using both experimental systems and a computational biology approach to cancer research and to establish a community of integrative cancer biology.

All the sessions can be followed via the online direct webcasting:

For further information, please visit:
http://ec.europa.eu/information_society/events/ict_bio/2008/index_en.htm

Related news articles:

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...