The SOPRANI network consists of 7 European research institutions and 1 non-academic partner and has recently been granted a European MSCA Doctoral Training Network grant to train and guide 10 doctoral candidates in a 10 individual research projects that are intended to substantially advance the field of neuromonitoring in patients with acute brain injury in neuro-intensive care. Current measurable physiological signals only roughly represent ongoing pathophysiological processes. As a result, no therapeutic action has been shown to be beneficial in randomized patient trials in this patient group. The project goal is to prepare novel dynamic insult monitoring technologies and to develop improved decision support by integrating disease models and insult/treatment ontologies into smart multimodality monitor software. A parallel goal is to unite high level expertise in clinical, biomedical, statistical and engineering sciences into one network to boost the next generation of researchers to substantially advance the field of neuromonitoring. The network includes 3 relevant animal models and access to large (multi)center patient databases with injury, treatment & outcome data. Smart monitor platforms that aid precision medicine in acute central nervous system injury close to trials and future innovation leaders are expected results. The institutions involved in the network are: - KU Leuven, Belgium (Bart Depreitere, Geert Meyfroidt) - Leiden University Medical Center, the Netherlands (Ewout Steyenbergh, Wilco Peul) - Charité Berlin, Germany (Jens Dreier) - Joseph Kepler University Linz, Austria (Raimund Helbok) - University of Cambridge, UK (Peter Smielewski) - Saint-George University London, UK (Samira Saadoun, Marios Papadopoulos) - VIB (Leuven), Belgium (Alan Urban) - Moberg Analytics, USA (Dick Moberg) The network includes leading researchers and clinicians in the field of central nervous system injury, biotechnology, biostatistics and data sciences, who have decided to join forces by composing a multidisciplinary team to teach young researchers in multiple competences and apply these in their research.
The brain and spinal cord too often still act as a black box, even with current multimodality monitoring in 2023, still leaving clinicians unsure of what is really happening inside her/his sedated patient, how to make sense of the different signals displayed on the monitor and what therapeutic action to take or not to take. The underpinning of monitored signal changes by pathophysiological event knowledge obtained in the lab and carefully compared with insights from modelling big data from patient repositories is a first and indispensable step towards next generation monitoring. The combination of such an integrative monitoring platform with smart visualization concepts – that associate events with probabilistic outcome prediction – and event/treatment ontology architectures, has a strong potential for truly beneficial decision support, and will make the black box more transparent. The main and ultimate impact is expected in improved patient outcomes following acute central nervous system injury. Based on incidences of the involved pathologies in Europe and the proportion requiring ICU care, it is roughly estimated that this matter concerns. 320,000 patients per year in Europe. Every neuron saved from ischemic or apoptotic death can make a difference for the individual patient: the difference between either or not regaining consciousness, either or not having sufficient strength and coordination to walk, either or not avoiding serious cognitive decline.
The project consists of the following PhD projects:
The candidates should have a strong academic record and a Masters diploma in the fields of Bio-informatics, Computer Science, Mathematics, Engineering, Medicine or Biomedical Sciences. Previous research experience is a plus. The candidates should not have a PhD. Depending on the project type, knowledge of data analysis, (bio)statistics, machine learning and associated programming skills or physiology, biology, medicine, and lab sciences are essential.
The candidates should be able to work independently, take initiative, adopt critical judgment and demonstrate ability to work in team. The candidates should be motivated to work with and listen to experts with a clinical background, with a biomedical sciences background and with biostatistical and engineering backgrounds. The project will include several network wide educational events and a secondment, for which travel, communication and social skills are required.
Proficiency in written and spoken English is crucial.
The candidates can be of any nationality, but must not have resided or carried out his/her main activity in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately prior to his/her recruitment.
The selected candidates are expected to write a doctoral thesis on their research after 4 years (when relevant, a 4th year of research will be funded by the host institution).
The selected candidates are offered:
You can apply through the webportal. Application deadline is November 30 2023.
The actual start of the research will be situated around Q2 2024.
For more information please contact: Prof. Dr. Bart Depreitere, Project Coordinator
Neurosurgery University Hospitals Leuven
You can apply for this job no later than December 31, 2023
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.
|Leuven - Belgium
|UK Students, EU Students, International Students
|27th October 2023
|31st December 2023
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