Projects
Advanced modelling of cerebrovascular autoregulation lab animal data to build a patient autoregulation monitor KU Leuven
Traumatic brain injury (TBI) can lead to devastating consequences for the patient and his/her family. TBI is also the number one cause of death and disability in young people. Moreover, a TBI often impairs cerebrovascular autoregulation, a protective homeostatic physiological mechanism that ensures sufficient cerebral blood flow under varying conditions, which has been recognized as an important threat to good outcome after TBI. Consequently, ...
Artificial Intelligence (AI)-enabled mining of big longitudinal datasets collected with wearable sensors. KU Leuven
Medical diagnosis and patient follow-up currently relies on the experience of highly specialised clinicians, who evaluate patient symptoms during in-person visits, augmented with results coming from specialised laboratory tests and subjective patient reports. A wide range of digital measurement technologies offer the opportunity to record and store various aspects of health and pathological symptoms in a more frequent and detailed way ...
Artificial Intelligence (AI)-enabled mining of big longitudinal datasets collected with wearable sensors. KU Leuven
Modeling Inter-case Dynamics with Deep Predictive Process Mining KU Leuven
Process analytics is the research area focusing on describing, predicting, and improving business processes using data generated by information systems executing these processes. These processes are always pertaining particular cases, e.g., a single customer applying for a loan, or a patient going through a healthcare workflow. Many such cases exist in an information system at the same time, hence, these cases are never executed in a vacuum ...
A framework to deduce the convoluted repertoire and epitope hierarchy of human T cell responses in visceral leishmaniasis: patient meets in silico. University of Antwerp
Modeling and visualization of multimodal brain monitoring in acute brain injury KU Leuven
The intensive care medicine department (ICU) treat patients in life threating conditions, who usually require multi-organs support. ICU combines high clinical skills, a fully dedicated patient care system and sophisticated technology. Moreover, different physiological parameters are continuously monitored. Despite that, the ICU mortality in Europe remains around 20%. Acute brain injuries (ABI) gather most of neurological injuries that occur ...
Automated sleep analysis from wearable monitoring devices. KU Leuven
Sleep-wake disturbances are widespread across the disease spectrum. They are among the earliest and most disruptive symptoms in Alzheimer’s disease (AD), which is the number one neurodegenerative disease and represents a huge burden in our aging society. Sleep-wake disturbances are also associated with epilepsy, which in turn interacts with AD. While there is plenty of evidence for the interplay between AD, epilepsy and sleep, the nature of ...
Towards precision health by enabling multimodal monitoring in real-life settings using uncertainty based, hierarchical, and time-dynamic models Ghent University
Mental health is a complex process, consisting of a causal relationship between (1) context, e.g, external circumstances and personality traits, which determines the mental health, and (2) symptoms, i.e., behavioral, psychosocial, and physiological responses, by which mental health is observed. SOTA mental health research is focused on finding relationships between affective states and physiological responses. However, transitioning this ...
Complex trait analysis using low-pass cell-free DNA sequence data KU Leuven
Genomic medicine moves healthcare from being reactive to disease to being predictive to disease onset or from cure to prevention. Next-generation sequencing technologies have leveraged novel concepts to diagnose, treat and monitor diseases. Analysis of free-floating cfDNA from blood or other body fluids - called “liquid biopsy” - represents an emerging tool that enables non-invasive monitoring of tissue dynamics in multiple human ...