AMBioRICS - Algorithms for Medical and Biological Research, Integration, Computation and Software
From 01-10-2004 to 30-09-2009
Description
The main emphasis will be on the development and further analysis of concepts and algorithms in mathematical engineering, focussed on biomedical signal processing and bio-informatics. The main reasons for this focus are the spectacular and far reaching technological breakthroughs in measurement and sensing devices in bio(techno)logy and computing power, the progress in fundamental understanding of biological mechanisms (e.g. the Human Genome Project) and the increasing availability of (ultra-)large datasets. The projects aims to answer challenges posed in this domain by so-called biodata features, such as the low signal-to-noise ratios of biological observations, the fact that in biology 'qualitative' knowledge is often readily available, the exponential trends in numbers and sizes of data- and bio-material-bases and clinical (patient)databases, the heterogeneous nature of available data on different levels in time and 'scale' (cell-proteome-transciptime...). Three majos classes of algorithms will be explored: 'Classical' statistical-numerical approaches; signal-analysis-based methods and dynamical systems based modelling. The algorithms will then be customized towards several bio-application areas: biomedical signal processing, clinical data-driven predictive data processing, systems biology, bionic systems (hearing aids). In a final workpackage, critical enabling software methodologies (dealing with bio-informatics and security aspects) will be developed.Team
- Yves Moreau, Co-promoter
- Marc Moonen, Co-promoter
- Bart De Moor, Co-promoter
- Johan Suykens, Co-promoter
- Sabine Van Huffel, Co-promoter
- Bart Preneel, Co-promoter (External)
- Joos Vandewalle, Promoter
Financing
Funding: KU Leuven - Internal Funding KU Leuven
Program/Grant Type: BOF GOA - BOF Geconcerteerde Onderzoeksacties
Events
2/09/2024:
PhD defense - Martijn Oldenhof
Machine Learning for Advanced Chemical Analysis and Structure Recognition in Drug Discovery
3/09/2024:
Meet the Jury Igor Tetko on Advanced Machine Learning in Drug Discovery
12/09/2024:
Multimodal analysis of cell-free DNA for sensitive cancer detection in low-coverage and low-sample settings
Seminar by Antoine Passemiers
News
STADIUS Alumni Herman Verrelst – new CEO of Biocartis
08 June 2017
Herman Verrelst, the founder of KU Leuven spin-off Cartagenia, who has been working in Silicon Valley, US for the last few years will be returning to Belgium to follow the steps of Rudi Pauwels as CEO of the Belgian diagnostic company, Biocartis.
Supporting healthcare policymaking via machine learning – batteries included!
29 May 2017
STADIUS takes the lead in the data analytics efforts in an ambitious European Project MIDAS.
Marc Claesen gives an interview about his PhD for the magazine of the Faculty of Engineering Sciences "Geniaal"
10 February 2017
Did you know that in Belgium approximately one third of type 2 diabetes patients are unaware of their condition?
Joos Vandewalle is nieuwe voorzitter KVAB
09 October 2016
Op 5 oktober 2016 heeft de Algemene Vergadering van de Academie KVAB Joos Vandewalle verkozen tot voorzitter van de KVAB.