Projects
Knowledge Graphs for Data Integration (Scientific research community W001222N) KU Leuven
To cope with the need to deal with large, heterogeneous, and distributed data, there is a growing demand for knowledge graphs which support the data integration processes allowing machines to understand the content of the data and make it actionable. The construction, maintenance, and use of knowledge graphs for data integration is inherently multidisciplinary, be it for its many application domains. However, knowledge graph-based innovation ...
Advanced algorithms for integration of heterogeneous data for brain tumor diagnosis and prognosis. KU Leuven
The whole is greater than the sum of its parts. Data integration and analysis towards synthesizing archaeological research of the countryside KU Leuven
In Mediterranean archaeology, there has traditionally been a strong sampling bias towards urban contexts, while the contemporaneous dynamics in the surrounding countryside have received less attention. In the last decades it has become clear that the countryside is much more complex than once thought, and that it encompassed a variety of human-environmental interactions, which makes its study more relevant and overdue than ever. One of the ...
Artificial intelligence and data integration to achieve improved outcomes and personalised healthcare in IBD KU Leuven
Inflammatory bowel diseases are complex diseases resulting from the combination of multiple etiological factors, and present major challenges in diagnosis, classification and management. Current treatment strategies are applied in an indiscriminate fashion, though anti-inflammatory drugs only benefit a limited number of patients (ceiling of 30-40%) and therefore leaving large margins for improvement. This “one measure does not fit all” ...
Automated classification of plankton images through the integration of genomic, morphological and environmental data. Ghent University
Currently, no single approach is adequate to assess species diversity and community composition in plankton samples. While biomass and abundance of particles within a detected size range can be captured very well with automated image classification, predictions on species identity are often unreliable and/or of low taxonomic resolution. High taxonomic resolution can be obtained with DNA-based approaches, but these perform suboptimal with ...
Omics Data Integration to Predict Drug Resistance in Mycobacterium tuberculosis Vrije Universiteit Brussel
worldwide. Improved diagnosis is essential to address increasing TB
antimicrobial resistance and to assign an effective treatment regimen.
The advent of whole-genome sequencing (WGS) promises to
overcome slow, more expensive, and biohazardous assay
susceptibility testing. However WGS relies on previous
understanding of resistance mechanisms in M. ...
Quantifying the impact of climate and tectonic gradients on landscape evolution across timescales: Explicit integration of cosmogenic radio nuclide and thermochronometric data in numerical landscape evolution models. KU Leuven
The evolution of the earth surface holds clues on the interaction between uplift and climate. Uplift builds topography and climate mediates erosion processes that break topography down. However, reconstructing earth surface evolution is far from evident given the large spatial and temporal timescales at play. Technological innovations now allow to measure erosion rates at different timescales. Nonetheless, these observations are typically ...
Comprehensive characterization of structural variation andnucleotide modifications in neurodegeneration through longread sequencing and data integration. University of Antwerp
SprInt: a novel platform for structural proteomics data integration. Ghent University
The classic approaches to determine protein structure are nowadays often complemented with conformational proteomics. This combination fills the gap between protein structure, dynamics and protein interaction. But data interpretation, integration and visualization tools still lag far behind. Therefore, we will develop PepShell 2.0 into a user-oriented ‘umbrella’ platform for a broad range of structure determination approaches.