Projects
Comprehensive phenotyping of neuro-organoids by deep learning. University of Antwerp
Genetic predictors of joint shape and cartilage mechanics Ghent University
Recent genome wide association studies have revealed that several osteoarthritis (OA) risk loci involve common genetic variations related to musculoskeletal development and morphogenesis. To date, a major shortcoming, is that morphometric phenotyping is based on 2D superposition imaging, resulting in high noise levels and limited applicability. In this interdisciplinary project, DNA will be collected from patients undergoing CT scanning for ...
Dissecting tissue spatial organization using machine learning and spatial transcriptomics Ghent University
In this project, we aim to better functionally characterize different spatial contexts within tissues. To this end we will develop novel bioinformatics pipelines to process and integrate several “omics” and imaging data types. Novel machine learning methods will be explored that aim to combine the high spatial resolution of imaging techniques with the deep phenotyping capabilities of current scRNAseq methods.