Projects
Combinatorial, High-throughput organoid screens for personalized medicine KU Leuven
Perspectives for patients with cystic fibrosis (CF) have dramatically changed over the last few years, with the advent of CFTR modulators, a new treatment class comprising several mutation-specific drugs. Recent drug development efforts are directed to the most frequent CFTR mutation (F508del) and a handful of less frequent mutations, excluding around 10% of patients with only rare mutations, who depend on academic research innovation and ...
Bayesian approaches to clustering for longitudinal data analysis and its applications in personalized medicine KU Leuven
Precision medicine or personalized medicine is an emerging area of interest that aims to improve clinical outcomes by tailoring individualized treatment plans. This is driven by the large amount of data that is being routinely collected in modern clinical settings (for example DNA sequences, continuously monitored biomarkers, extensive medical imaging etc). The biomarkers measured over time provide important information on both disease ...
Enabling personalized medicine by optimizing disease treatments with hybrid machine learning Ghent University
Dynamic Treatment Regimen (DTR) are adaptive treatment strategies using a sequence of expert decision rules, ideally one per stage of intervention, to individualize treatments for patients. They are an important tool towards enabling personalized medicine. Attempts are already being made to tackle treatment individualization with machine learning using deep reinforcement learning for better accuracy, however, these solutions require immense ...
Metabolomics-driven Molecular Source Analysis for personalized medicine in children Ghent University
While recent advent empowered the new reality of holistic metabolic phenotyping, we are currently still unable to accurately
determine the source(s) of the underlying metabolites. This is undoubtedly the main stumbling block in inferring causality to new
biomarkers for disease prevention, prediction, and prognosis, particularly given the rapidly increasing burden of metabolic diseases.
At the same time, conventional ...
Implementation of personalized medicine and pharmaco(epi)genetic biomarkers for costeffective improvement of the therapeutic outcome of lung cancer treatment in Cuba. University of Antwerp
Multiple sclerosis: from genetic and immunological profile to personalized medicine. KU Leuven
Over the past few years, researchers and clinicians in MS have made substantial progress in understanding and treating multiple sclerosis (MS). First, more than 110 genetic risk factors for MS have been identified. These risk factors point to a crucial role of the immune system and indicate new targets for treatments. Secondly, we start to understand some of the important differences between patients that are remarkable in MS. For others, ...
Towards precision medicine for Dravet syndrome using personalized zebrafish disease models KU Leuven
3D printing of drug loaded medical devices for personalized medicine. University of Antwerp
Nonlinear data fusion for arbitrary entity-relation graphs with application to genome interpretation for personalized medicine KU Leuven
In this project, we will develop a scalable data fusion algorithm for nonlinear inference over arbitrary Entity-Relation graphs, which are a simple way to describe complex problem domains by specifying how entities (classes of objects) interact. Our data fusion approach is general and could be applied to many problems, but we will focus on the groundbreaking challenge of genome interpretation, whose solution is at the core of personalized ...