Projects
Discreet, personalised epileptic seizure detection device KU Leuven
SeizeIT2 is a clinically accurate seizure detection system for people with epilepsy. This discreet wearable device monitors several biosignals to allow a more precise quantitative analysis of seizure activity, so that people with epilepsy can receive treatment optimised for their specific condition.
SeizeIT is a proof-of-concept device enabling precise, objective logging of seizures for people with epilepsy. The first ...
Deep, personalized epileptic seizure detection KU Leuven
There is an urgent need for objective epileptic seizure monitoring in the home environment. The only reliable way of monitoring seizures is by measuring brain activity, which is possible by means of the electroencephalogram (EEG). Miniaturized EEG devices with different electrode configurations that could be worn at home became available, but the challenge remains how to automatically detect the presence of seizures. Having demonstrated ...
Development of patient avatars in zebrafish for personalized selection of tyrosine kinase inhibitor-based combination therapy to combat relapsed pediatric sarcoma Ghent University
A soft tissue tumor or sarcoma in children is a rare tumor that arises in connective tissue. Despiteoptimal treatment of non- metastatic high-grade sarcomas, 50-80% of patients relapse within 2 years and the median survival time is only 15 months. Despite several clinical trials with newer therapies, treatment has remained unchanged for the past 20 years. The rarity of the disease and the fact that more than 50 subytpes exist prevent the ...
Personalized multimodal treatment for resectable esophageal cancer by detecting minimal residual disease (MRD) using circulating tumor DNA (ctDNA): KU Leuven
Esophageal cancer is the 7th leading cause of death from cancer in the world and accounts for half a million deaths each year. Squamous cell carcinoma rates remain stable, although adenocarcinoma rates are rising in the western world. For patients with cT1-2N0 disease primary surgery is chosen followed by observation. Neoadjuvant chemoradiotherapy followed by surgery (multimodal treatment) remains the current standard of care in all patients ...
Mitral Valve Disease in Heart Failure with Preserved Ejection Fraction: Insights from Personalized In- Silico Heart Modeling and Clinical Validation. Hasselt University
Integrative computer modeling of cardiorespiratory fitness for personalised profiling and prevention of early-stage heart failure KU Leuven
The surging burden of heart diseases on our society calls for tools that can adequately detect and control heart diseases before disease symptoms present. Clinical exercise tests could improve the characterisation and management of subclinical stages of cardiac disease. Yet, current practice only considers a limited selection of cardiopulmonary exercise indexes in isolation. To utilise the full value of clinical and exercise testing data, in ...
Building personalised machine learning models in health informatics with limited datasets KU Leuven
Healthcare services are being transformed by technological advancements and the availability of health-related data, from wearable device monitoring to treatment personalisation. Machine learning (ML) has the potential to harness this data by identifying patterns and developing prediction models to assist stakeholders and, ultimately, improve healthcare. The applications of machine learning in healthcare have grown exponentially, from drug ...
The human genetic and immunological determinants of the clinical manifestations of SARS-CoV-2 infection: Towards personalised medicine KU Leuven
The consequences of SARS-CoV-2 exposure range from a lack of infection to lethal COVID-19. This immense inter-individual clinical variability is the key scientific and medical enigma in the field. While age and certain co-morbidities are known to influence disease outcome, these parameters do not explain all variation. In addition, there are other SARS-CoV-2 phenotypes of clinical importance: multisystem inflammatory syndrome in children and ...