The Systems Biomedicine team devises computational strategies to transform the deluge of multimodal biomedical data into knowledge for genetic diseases.
The advances in high-throughput technologies are providing unprecedented opportunities to better understand human diseases. Recent years have in this context witnessed the accumulation of omics approaches and datasets. Novel technologies, such as single-cell or spatial omics, are constantly arising. Biomedicine is further transitioning from multiomics to multimodal datasets: data are not only available at the molecular omics level, as we now have access to signals and images, but also to various datasets related to disease phenotypes, health databases, or drug chemical similarities. The bottleneck now lies in the analysis and integration of these complex, large-scale and heterogeneous datasets. The Systems Biomedicine team bridges the gaps by harnessing digital expertise and developing novel computational approaches.
The Systems Biomedicine team is hosting the research group of Paul Villoutreix, laureate of an INSERM Chaire de Professeur Junior.
The Systems Biomedicine team works in close collaboration with the MABIOS team from the Marseille Mathematics Institute.
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