Atherosclerosis is the main underlying cause of cardiovascular disease (CVD) and due to its multifactorial natural is often studied in animal models. Here the aim is to develop an innovative ex vivo system to study the atherosclerotic disease process based on the actual human atherosclerotic plaque. In line with the Transition to Animal-free Innovation (TPI), the aim is to develop a model that generates data on the effect of novel drugs that is highly translatable to the effect of the novel drug in the cardiovascular patient, while at the same time minimising the number of laboratory animals used. Moreover, the aim is to utilise this model to discover new biomarkers of successful treatment, which could expedite the transition of CVD therapeutic into clinical trial.
The project LIF2.0 aims to develop a short term response to COVID-19 needs in industry and public organisations by offering a real time COVID-19 driven data platform covering European wide aggregated content from a vast amount of sources. Users will have insights for developing new echo period strategies.
In muscle diseases, muscle fibers lose their capacity to contract, resulting in loss of mobility and respiration. In this project advanced 3D models of muscle diseases in vitro will be generated and the effects will be investigated on the smallest contractile unit present in muscle cells using highly sensitive force measurements.
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.
Replacing current invasive testing by a simple blood test to enable prenatal diagnosis for pregnant couples carrying severe monogenic diseases, is much desired. In this project the aim is to develop an efficient NIPD method for monogenic diseases, for implementation in the clinic.
To personalise radiation therapy, this project focused on three main challenges: 1) accounting for anatomical changes during radiation therapy; 2) improving the radiotherapy dose distributions; 3) prediction and modifying treatment response.
Image-guided external beam radiotherapy has the potential to considerably improve therapy delivery. This project is focused on dedicated image processing and dose accumulation algorithms that allow to exploit these possibilities in difficult anatomical areas.
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.
There is a high demand for SARS-CoV-2 antiviral therapies that may limit COVID-19 severity in susceptible individuals. In this project, epithelial models from nasal brushing obtained from SARS-CoV-2 infected individuals will be developed. These models may allow simulation of viral infections in a dish and selection of candidate antiviral drugs.