New Christian Doppler laboratory should improve cancer treatment

In the newly opened Christian Doppler Laboratory for Machine Learning Driven Precision Imaging, improved prediction models for lung cancer and personalised lung cancer treatments are to be developed with the help of artificial intelligence. The focus is on a translational approach with the aim of introducing new knowledge from basic research into clinical application as quickly as possible.

In the new CD laboratory, radiological and pathological images as well as molecular data from lung cancer patients are linked with the help of new machine learning (ML) methods. ML is a branch of artificial intelligence that can recognise patterns and generate knowledge from experience. In this way, novel precise prediction models for the assessment and prediction of treatment response in lung cancer will be investigated and developed and subsequently specifically tailored to individual patients. In order to achieve this goal, the CD lab directors Georg Langs and Helmut Prosch from the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna are working with the corporate partner Siemens Healthineers and an interdisciplinary team from the fields of machine learning, medical imaging, oncology and pathology, among others. The cooperation partners also include the Department of Innovation and Digitalisation in Law at the University of Vienna and the Klinik Floridsdorf hospital.

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