ICT BIO 2008 - Combining the Power of ICT with Biomedical Sciences

Major diseases like cancer, neurological and cardiovascular diseases are complex in nature involving environmental, life style, ageing and genetic components. One of the future challenges is to integrate the knowledge of all these different components into robust and fully reliable computer models and "in silico" environments that will help the development and testing of new therapies for better prediction and prevention tools in healthcare.

An integrative research approach is therefore required to better understand the complex mechanisms behind human diseases. In this approach, all processes that occur at multiple levels from molecules to cells, organs and organisms are seen not as separate events but as parts of a multi-scale system which aims at improving the understanding of the human health and diseases.

To face this challenge a new generation of multidisciplinary science fields is emerging at the crossroads of Information Technology, Medicine and Biology that provide "in silico" multi-scale modeling and simulation in medicine and biology. For example, patient-specific computer models of human cells or organs can bring new understanding of disease, support discovery of new drugs or can help visualising the effects of different choices of treatments.

To realise this ambitious vision at the crossroads of Information and Communication Technologies and Biomedical Sciences, researchers from different disciplines must work together on virtually everything that can be observed and measured at multiple biological levels in relation to human physiological diseases. The European Commission is investing in this topic through complementary research programmes in Information and Communication Technologies and Health research.

The Directorate-General Information Society and Media (DG INFSO) supports this integrative research through funding of projects in the area of multi-scale modeling and simulation known as the "Virtual Physiological Human" (VPH) initiative. The Directorate-General Research (DG RTD) supports through funding of projects in the areas of health research and systems biology.

The conference will take place over two days (Oct. 23-24). Each day will start with a plenary session featuring high-level policy speakers including EU Commissioners, Member of Parliaments, 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 modeling in cancer research, heart and cardiovascular diseases, muscular-skeleton systems, and ageing. The conference website is updated regularly with the latest information on the sessions and exhibition.

Media events (press-conference, press release, demos to media) will communicate to non-specialists the importance of the synergy between ICT, Biomedical Sciences and Health research and the concrete benefits for all citizens in terms of better healthcare.

During both days an exhibition will be held at the conference venue showcasing amongst others 3D medical imaging and prototypes, interactive audiovisual and technical demonstrations. These demos will be exhibited by on-going research projects showing concrete results in this multidisciplinary research field. The exhibition will be a great opportunity for the public to see the applications of the latest technologies and new tools that will help the development of novel therapies for a more predictive and preventive healthcare.

The Conference is free of charge and online registration is compulsory, entrance will not be permitted without the confirmation letter.

Please note that 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. The confirmation of attendance letter will be sent at the latest on 15th September.

Have Your Say
Logged-in site visitors are able to use the site's 'Comment' function to show their interest in or comment on the event in one of two ways:

  • suggest a contribution - your idea will be forwarded to the session coordinator. If successful, you will be able to develop it further by adding documents;
  • comment on a session - relevant questions and comments will be communicated to the chairman of the session and potentially addressed during the session.

Alongside the conference, the 1st Transatlantic Workshop on Multiscale Cancer Modelling will take place at the same venue.

Computational and mathematical cancer modelling is already a driving force behind interdisciplinary cancer systems biology. Understanding cancer as a complex dynamic bio system requires finding ways to investigate and ultimately target its many constituents and their dynamic relationships across multiple scales in space and time - i.e., multi-scale modelling and simulation. Geared towards translation into clinical practice, long term goals of these modelling approaches include supporting patient specific treatment optimization.

In recognizing the significant contribution of teams on both sides of the Atlantic to this emergent field of in silico oncology, the US National Cancer Institute and the European Commission jointly support a workshop that is being co-organized by NCI’s Center for the Development of a Virtual Tumor, CViT, and EC's Advancing Clinico Genomics Trials Program, ACGT.

This workshop aims to present cutting edge approaches, to demonstrate the field's potential and to discuss common challenges it faces in moving forward. The ideal outcome is facilitated interaction between the teams, increased visibility of the achievements beyond the nascent community and formulation of a shared vision that can be advanced into joint funding programs.

The following modelling and simulation topics will be addressed: carcinogenesis, prevascular and vascular progression, invasion and metastasis, tumour growth across spatiotemporal scales and clinically oriented tumour modelling. All major multilevel approaches i.e. bottom-up, top-down and middle-out will be delineated through carefully selected paradigms. Initiatives regarding translation of multiscale cancer models into the arena of clinical trials will be outlined and their potential will be discussed.

Programme is available at the ICT BIO conference website under the Transatlantic Workshop button.

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

Related news articles:

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...