An intranasal vaccine will be developed against COVID-19 consisting of a safe Newcastle disease virus (NDV) vector that expresses the spike protein of SARS-CoV-2. The vaccine will be produced in FDA-approved Vero cells and the safety and efficacy will be tested in a pre-clinical animal model.
The goal of QoroNano is to develop a portable device that can be safely used anywhere: at hospital admission sites, nursing homes, airports, etc. It is designed to be easy-to-use, fast (few minutes) and very sensitive: it could potentially detect the presence of coronavirus after only shortly after getting infected.
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.
Photon attenuation correction methods for PET-MRI are currently developed using CT transmission images obtained prior to the PET-MRI scan. Their accuracy is limited by differences due to patient movement. A transmission scan mechanism will be integrated into the PET-MRI system, capable of acquiring transmission images simultaneously during the PET-MRI scan.
Hyperthermia is an adjuvant treatment to locally heat tumors (40-44oC) making chemotherapy and radiotherapy significantly more effective without adding side-effects. The following will be developed: estimation, optimisation and control methods to heat tissue accurately, fast and non-invasively using on-line adaptations based on 3D MR-temperature maps (“closing the loop between MR and heating application by automatic control).
The application of simultaneous MRI-PET in the planning of (radio)therapy is currently hampered by the concessions done in the design of current MRI-PET scanners. In this project, a prototype MRI-PET system was designed and built which delivers improved PET sensitivity, spatial resolution, and bore diameter without compromising MRI performance.
Accurate & complete gene sequencing in tumors is increasingly relevant for cancer diagnosis, prognosis and treatment decisions. Proof of principle of methodologies has been developed for improved genetic cancer diagnostics that empower personalised cancer treatment.
To improve individual healthcare artificial intelligence will be used for objective quantitation of patient imaging and pathology outcomes. Subsequently these algorithms can be validated and integrated into a tumor dashboard setting to support multidisciplinary clinical decision making.
During cancer surgery, the surgeon often cannot see the tumor boundaries. As a result, in 20-30% of thecases the tumor is not removed completely, or healthy tissue is damaged leading to long-lasting complications. A smart hyperspectral laparoscope will be developed that visualises tumor tissue in real-time during surgery.
It is proposed to develop a technology for real time guidance during cancer surgery. A probe will be developed that informs the surgeon realtime on the tissue type underneath the instrument. This will be achieved by strategically combining ultrasound imaging with the accurate tissue sensing capabilities of optical spectroscopy within one handheld device.