Safe sports for athletes and spectators during the COVID-19 pandemic

This multidisciplinary PPP focuses on the reduction of the SARS-CoV-2 transmission risk for athletes and spectators in semi-indoor and indoor sports venues, with emphasis on football stadiums, indoor halls and fitness centers. Crowd control, air cleaning and face masks are considered, either separately or combined, in five practical case studies.

Follow the Dot to Beat your Anxiety

The Follow The Dot project evaluates the use of Virtual Reality in EMDR (VR-based EMDR) in children with post-traumatic stress symptoms in a multicenter Randomized Controlled Trial (RCT). VR-based EMDR stimulates self-care in the family setting and is expected to reduce symptom recurrence, enhance patient satisfaction and improve quality of life.

Analysis of breast and prostate cancer with artificial intelligence for improved care

The cancer grade, provided by pathologists, is the most important predictor of patient outcome, but suffers from inter- and intra-pathologist variability, reducing its usefulness for individual patients. An expert-level AI system will be provided to support pathologist and help reduce this variability and make their diagnostic practice more accurate and efficient.

Better Sleep

The knowledge is missing that is essential for cost-effective roll-out of personalised treatment of insomnia. This project solves the bottleneck by creating a research platform for combined online behavioural change intervention and long-term monitoring of sleep, traits and health. A growing database will allow for optimised sleep interventions tailor to personalised needs, capacities, limitations and estimated benefits.

Digital Eye Health; towards remote monitoring in eyecare

A successful societal uptake of digital eye health requires a robust and safe telemonitoring platform that addresses the needs of its users. Patients request a simple tool that works intuitively with little external instructions. Doctors need a dataflow fully integrated in the electronic health record, and both need to develop trust in the validity and safety of remote monitoring. These requirements are addressed in this project.

Electrocardiogram analysis for early detection of cardiovascular diseases in COVID-19 patients

COVID-19 is a new phenomenon which has both a respiratory and a cardiac impact regarding the health of the patient. Rapid detection of the cardiovascular abnormalities in a COVID-19 patient will support treatment decisions. In this project a new rapid method will be developed to detect these cardiovascular characteristics in COVID-19 patients by only using non-invasive 12-lead ECG data.