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'Virtual humans' to help cure major diseases

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Published 24 October 2008, updated 28 May 2012

Computer modelling could be the key to solving major diseases such as cancer or Alzheimer's, according to the European Commission.

Medicine is entering a "paradigm shift", where the prevention of diseases take precedence over treatment, said Rudolf Strohmeier, head of private office of Information Society Commissionner Viviane Reding, opening the ICT BIO 2008 conference on 23 October. This shift will eventually lead to more efficient care and reduce health care costs, he predicted.

A "holistic approach" to research, crossing disciplinary and national borders and networking expert on computing and biomedical science at EU level is needed to make all this true, underlined Science and Research Commissioner Janez Potočnik. He noted that this could be an area for joint programming of national research to give the venture "more chance of real and faster progress". 

The way forward also includes solving interoperability issues and ensuring secure access to data, noted Potočnik.

Information Society Commissionner Viviane Reding urged for crossdisciplinary research to be increased, arguing that combination of ICT and biomedical sciences was "a sleeping giant" that could revolutionaise drug development and lead to personalised and safer treatments.

The first model of a virtual heart is already being used to test drugs, said Strohmeier.

Positions: 

Agreeing on the need to increase crossdisciplicary research, president of the European Federation of Neurological Associations Mary Baker noted that it was important to keep media involved and engage early on a societal debate on the ethical aspects of the current paradigm shift from treatmet to prevention.

"Complexity of living systems can only be decoded by computational modelling and simulation," said Iain Mattaj, director general of the European Molecular Biology Laboratory and the European Bioinformatics Institute (EMBL/EBI), adding that "we need ICT to analyse, store and distribute the data". This is, he explained, as a human genome encodes some 23,000 proteins and 4,500 RNA coding genes and every cell uses a different subset of them. "Humans are all genetically different and some of the differences will affect their response to drugs," added Mattaj, underlining that drugs should only be given to patients who respond positively to them.

Mattaj said Europe desperately lacks investment in biomedical sciences data resources and infrastructures as there is still not adequate sustainable support to "even core biomolecular data resources" nor useful, generally-accessible clinical data resources. 

In order to foster integration of medicine and ICT, he believes it is necessary to fund multidisciplinary research projects, develop both infrastructure and technology in biology, ICT and their interface as well as shared visions of future health care. It is also necessary to "overcome hurdles to access to medical data," he noted. 

Professor Martin Hofmann-Apitius of the Fraunhofer Institut für Algorithmen und Wissenschaftliches Rechnen said lack of statistically sound data was a challenge for the IT environment on the issue. "Availability of data is driving modelling and simulation at the molecular level," he said, deploring that no public data was available for modelling and simulation at tissue level.

Next steps: 
  • 25-27 Nov. 2008ICT 2008 event takes place in Lyon, France.
Background: 

Major illnesses like cancer or cardiovascular diseases are complex and multifactorial in nature as they are related to environment, lifestyle, ageing and genetic components.

One of the aims of EU-funded research is to integrate knowledge of all these components into computer models that will help to better understand diseases and support faster discovery of new treatment and drugs through simulation.

Eventually, this could lead to personalised, patient-specific treatment as computer models of cells or organs can help to visualise the effects of different choices of treatments. 

An EU initiative on Virtual Physiological Humans aims to develop patient-specific computer models for personalised and predictive healthcare and ICT-based tools for modelling and simulating human physiology and disease-related processes. Its future applications could include a medical simulation environment for surgery, the prediction of disease, early diagnosis and assessment of the efficacy and safety of drugs without patent trials.

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