Artificial intelligence in medicine | Research in Germany

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Medical research is focusing heavily on artificial intelligence to advance diagnostics and therapies by leveraging massive amounts of data. Genetic analyzes and the digital storage of results and measurements generate countless data that contain important and often undiscovered information and connections. Given the volume of data, however, it is usually only possible to find the crucial information with the help of learning computers, i.e. artificial intelligence (AI). German research institutions are also dedicated to this forward-looking field of medicine with a number of major projects and collaborations.

AI research at the German Cancer Research Center

At the German Cancer Research Center (DKFZ) in Heidelberg, for example, teams of researchers are working on numerous projects, for example on the use of artificial intelligence to analyze computed tomography (CT) images and magnetic resonance imaging (MRI), and thus provide important assistance to physicians. DKFZ researchers have also joined forces with colleagues from the European Molecular Biology Laboratory and the University of Heidelberg to form an AI Research Unit, which in turn is part of the European Laboratory for Learning and intelligent systems (ELLIS).

Ways to achieve personalized medicine

At the Leibniz Future International Laboratory for Artificial Intelligence in Hannover, one of the goals is to develop AI solutions for personalized medicine. The aim is to use AI to develop therapies adapted to each patient and therefore particularly effective, for example to improve the treatment of breast cancer.

At Forschungszentrum Jülich, scientists contribute their expertise in the areas of brain structure and function as well as supercomputing and simulation to the Human Brain Project (HBP), an international research network that seeks to understand the brain in all its complexity. They want to know how we think, how consciousness is formed, a personality, memory, intelligence, disease. This requires analysis of the processes taking place in the roughly 100 billion nerve cells – AI is the key to penetrating this complexity step by step.

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