Projecten
Translationele benaderingen van ziektemodificerende therapie van type 1 diabetes - OOGST de vruchten van INNODIA KU Leuven
Building on the strong foundations of INNODIA, with its unique, Europe-wide clinical and basic research network for the study of type 1 diabetes (T1D), we propose in INNODIA HARVEST an ambitious program which aims to prevent and arrest T1D via focused objectives targeting consolidation and innovation. First, we will consolidate the INNODIA clinical network as the reference point for conducting studies to prevent or arrest T1D. We will ...
Molecular Reclassification to Find Clinically Useful Biomarkers for Systemic Autoimmune Diseases KU Leuven
We concur to the IMI on “Reclassification of SLE, connective tissue diseases and RA” call by presenting a proposal aimed at using the power of OMICs, and bioinformatics to identify new classifications for diseases known to share common pathophysiological mechanisms. Such knowledge has not been applied to individual patients, depriving them from potential benefits in terms of the use of new therapeutic agents that are being developed for one ...
Geavanceerde machine learning voor ontdekking van innovatieve geneesmiddelen KU Leuven
The dramatic increase in using of Artificial Intelligence (AI) and machine learning methods in different fields of science becomes an essential asset in the development of the chemical industry, including pharmaceutical, agro biotech, and other chemical companies. However, the application of AI in these fields is not straightforward and requires excellent knowledge of chemistry. Thus, there is a strong need to train and prepare a new ...