Projects
Stroke, a major cause of global death and long-term disability, arises from a combination of factors including cardiovascular conditions such as atrial fibrillation (AF), modifiable lifestyle factors like diet and physical activity, and a spectrum of genetic and molecular determinants. Within the AI-SPRINT EU project, we have created a technology designed for continuous...
B-cell acute lymphoblastic leukemia is one of the most common cancers. Fifty-percent of all adult patients relapse, and of those who do, 90% of them perish. Thus, there is an urgent need to identify the patients that will relapse and to develop better treatments for them. In this project, we will use the most recent methodological breakthroughs to study both cancer cells and...
The COVID pandemic can be seen as an experiment conducted on the entirety of humankind (as almost everybody has been or will get infected with SARS-CoV-2). It will therefore have the best coverage over the widest variation possible and is therefore ideally suited to study the effects of infections with SARS-CoV-2 on large quantities of heterogeneous individuals.
Interstitial Lung Diseases (ILDs) are a heterogeneous group of >100 different rare diseases, which share the fate of progressive scarring and, ultimately, death. Two anti-fibrotic drugs have demonstrated to slow-down fibrotic progression and steroids/immunosuppressants are commonly used for inflammatory-driven ILDs. However, patient's response to therapeutic options is...
Recent research has shown that Chronic Obstructive Pulmonary Disease (COPD) is the end result of dynamic and cumulative gene-environment interactions starting early in life. This opens new opportunities for the prediction, prevention, personalized and precise management (P4) of COPD in young adults.
Objectives: (1) to investigate the genomic and...
Cholangiocarcinoma (CCA) is a rare type of cancer and the second most common hepatobiliary malignancy, accounting for 10 to 20% of primary liver cancers. In the recent years, different groups have published data on the molecular biology of CCA, describing a complex pathogenesis, involving various molecular pathways, some of them potential therapeutic targets, such as...
The aim of the project is to develop a comprehensive framework for generalizing network analytics and fusion paradigms of non-negative matrix factorization to medical data. Heterogeneous, interconnected, systems-level omics data are becoming increasingly available and important in precision medicine. We are seeking to better stratify and subtype patients into risk groups,...