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.

GaReC: Gait Rehabilitation Clinical (GaReC) decision tool

Orthotics, like orthopaedic shoes or orthoses, are commonly prescribed to further improve balance and gait in these patients. To optimise the process of prescription and evaluation of orthotics, it is important to analyse the functional disorders objectively. Therefore, the purpose of this project is to optimise the orthotic design process by developing a decision tool for orthotics, which is called the GaReC.

Stimulation of the pituitary gland for pain reduction in the last phase of life

Pain reduction in the palliative phase is mostly achieved with opioids. However, these may not have adequate effects in some patients and cause severe side-effects that impair the ability to partake in social life. This project (re)introduces pituitary gland stimulation for pain relieve to achieve pain reduction without these side -effects.

Trusted World of Corona

The goal of this trusted guide to the world of COVID-19 is to help clinicians, the scientific community, policy makers and politicians and the public at large to get near real time accurate, expert-annotated and specific information in a modern, user friendly and easily accessible format. The benefits will include better use of treatments, faster development of vaccines and a clearer view on factors that may negatively affect the outcomes of a COVID-19 infection and other future virus outbreaks.

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.