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.
The aim of this project was to develop methodologies for robust, and safe in vivo gene editing in skeletal muscle tissue. The project has provided a valuable tool set for researchers around the world to perform gene targeting in skeletal muscle, enabling the development of personalised gene therapies for genetic muscle disease and metabolic diseases.
Increasing evidence suggests that dynamic changes in the transcriptional state of specific cell-types plays a key role in determining disease outcomes. Here, cell-type specific changes will be detected in tuberous sclerosis complex cortical tubers and assessed if these cell-type changes are involved in the pathogenesis of epilepsy.
The project will test the Affective Bonding Theory and investigate how people relate and affectively bond to a robot and what the effects are on loneliness and quality of life of (lonely) older adults. A newly developed social robot will accompany senior citizens for several weeks to test this.
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.
This project was set up to understand why arthritis develops in some patients with psoriasis, by studying a broad array of clinical and immunological parameters in patients with psoriasis and psoriatic arthritis.
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.
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.
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.
Prognostic models providing clinicians with survival probabilities based on for example patient and diseasecharacteristics can help them to tailor care better to individual patients’ needs. In this project, several key issues hindering imbedding of prediction models in daily clinical practice will be addressed.