Data is not only the answer to numerous questions in the business world; the same applies to biomedical research. In order to develop new therapies or prevention strategies for diseases, scientists need more and better data, faster and faster. However, the quality is often very variable and the integration of different data sets often almost impossible. With the Computational Health Center at Helmholtz Munich, one of Europe’s largest research centers for artificial intelligence in medical science is now being established under the direction of Fabian Theis. In close cooperation with the Technical University of Munich (TUM), more than one hundred scientists are using artificial intelligence and machine learning to discover solutions to precisely these problems, thus enabling medical innovations for a healthier society. In the latest issue of the journal Nature Methods, they present three articles with groundbreaking new solutions.
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Source: Phys.org