Strategic research

Conducting long-term strategic research into ‘health data’ and ‘medical imaging’

Digital health(care) will make our healthcare system more personalized, preventive, predictive and participatory – if we manage to help the various stakeholders (healthcare professionals, patients and policy makers) cope with the rapidly-growing amount of data they have at their disposal; data that is generated by a myriad of devices and sources. To do so, we need adequate clinical decision-support systems – i.e. tools that analyze all data and support medical staff in making the right clinical decisions.

Imec has the critical mass to conduct longer-term, strategic research in this space – leveraging the knowledge and expertise of over 200 academic researchers that are spread across the campuses of KU Leuven, Ghent University, University of Antwerp, VUB and their respective university hospitals. Their mission: realizing scientific breakthroughs in the digital health space – thereby focusing on ways to intelligently acquire, process and analyze health data and medical images.

Recent achievements

New eXtasy software traces origins of genetic disorders 20 times more accurately

“eXtasy uses advanced artificial intelligence to combine whole sets of complex data into a global score that reflects how important a certain mutation is for a certain disease. This data can consist of networks of interacting proteins, but could also include scientific publications or even scores that estimate how harmful a mutation is for the protein in question. In this way, we can detect disease-causing mutations twenty times more accurately, and provide patients and their families with a much faster and more conclusive diagnosis. We hope this can considerably improve and accelerate the treatment of millions of patients.” -- Prof. Dr. Yves Moreau, iMinds - STADIUS - KU Leuven.

Prof. Dr. Peter Schelkens obtains European Research Council (ERC) Consolidator Grant

Prof. Schelkens (iMinds - ETRO - VUB) has been granted a budget of €2 million for its INTERFERE project. INTERFERE investigates breakthroughs with respect to holography (i.e. the realization of full-parallax, wide viewing angle dynamic digital holography). Application areas include medical imaging, biophotonics, digital holographic microscopy, etc.

Background

News item: Peter Schelkens receives conveted ERC consolidator grant (Jan 2014)
Research group: iMinds - ETRO - VUB

Discover how imec’s strategic research findings can propel your business

Imec’s strategic research efforts often result in cutting-edge technologies that can easily be picked up by companies, providing them with an important competitive advantage. In the digital health space, a.o. following technologies are at your disposal; make sure to get in touch with us in case you are interested in leveraging these research results –

LAF is a technology that predicts the audiovisual quality perception for any multimedia device in a highly reliable, intelligent and cost-effective way. It prevents suboptimal bandwidth usage and compromised picture quality resulting in a poor user experience. Use cases include medical applications such as digital radiologic imaging where diagnostic-quality image files are compressed for storage and expanded for subsequent study.

MASSIF adds meaning to your data. Gathering useful knowledge from raw data is like looking for a needle in a haystack. The MASSIF platform offers an intelligent and semantically sensitive reader for large data sets – whatever their source, and whatever output is desired. The MASSIF tool brings decision-making to another level – and targets companies (private and public) that regularly collect raw data on a large scale.

The Quasar programming language accelerates image reconstruction and video processing by 10 to 100 times through faster, easier programming of GPU/CPU parallel computing. When used in parallel with the central processing unit (CPU), graphics processing units (GPUs) can improve computation speed by up to 100 times—but this is rarely done because GPUs are notoriously hard to program. The new Quasar language changes that. Created by iMinds researchers at Ghent University, Quasar opens up whole new possibilities for faster GPU programming and processing in medical imaging reconstruction, video processing and more.

imec’s unique assets and position

Discover how imec covers the complete innovation value chain in digital health – from strategic research to business incubation