GE/DGAI prize for research

GE Healthcare and Germany's DGAI (the country's society for anaesthesiology and intensive care) are offering their first clinical sciences research prize, worth 60,000 euros. To be funded by GE for the next three years, the award aims to promote comprehension of clinical practice in anaesthesiology, intensive care and emergency medicine and pain therapy, via intensive clinical research.

One of the award’s initiators: DGAI’s new President, Professor Hugo Van Aken,...
One of the award’s initiators: DGAI’s new President, Professor Hugo Van Aken, Head of the Anaesthesiology and Surgical Intensive Care Unit at Münster University Hospital

Applications for the first GE/DGAI research prize closed on 15 February. Now it will be up to the panel of judges to decide on the first winner. The panel includes internationally recognised medical professionals such as Professor Peter M Suter, Vice President of Research at the University of Geneva and Professor D Pierre Coriat, of the C.H.U. Pitié-Salpétrière, and Chairman of the Dépt. D’Anesthésie-Réanimation in Paris, and is headed by Professor Sten G.E Lindahl of the Karolinska Institute, who is also Head of Research and Education at Karolinska University Hospital, Stockholm.

The award will be presented at this year’s anaesthesiology congress in Hamburg (5-8 May), held by the DGAI. Founded as a medical/scientific society in 1953, today the Society reports it has over 12,000 members and continues to encourage them to work together to scientifically expand and advance anaesthesiology, intensive care medicine, emergency medicine and pain therapies.
www.dgai.de (‘Infoservice’section)

08.03.2007

More on the subject:More on companies:
Read all latest stories

Related articles

Photo

Article • Patient front and centre

One-Stop Clinic: diagnosis and treatment in one day, on one site, by one team

Cancer – one word that turns the patients’ world upside down. In addition to uncertainty and fear, they often face an unnerving series of exams and treatments. With its new One-Stop Clinic…

Photo

Sponsored • Deep Learning in Radiology

New Levels of Precision with Self-learning Imaging Software

The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn…

Photo

Interview • Algorithms in radiology

AI in diagnostics: Smart scans are the future

AI algorithms are making their way not just into diagnostic workstations, but will also in future be found in the diagnostic methods themselves. Prof. Mathias Goyen, Chief Medical Officer Europe at…

Subscribe to Newsletter