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42 PCB007 MAGAZINE I NOVEMBER 2018 To prepare computer science students for challenges in the digital medicine area, the Fraunhofer MEVIS Institute for Medical Im- age Computing—one of the world's leading research centers in digital medicine—and the University of Bremen are now cooperating even more closely in teaching. Today, digital medicine plays an important role in everyday clinical life in healthcare, di- agnosis, surgery, and treatment. The aim of this partnership is for physicians to make the best use of the possibilities offered by big data, artificial intelligence (AI), and image-based medicine. The new study focus of medical computing in the Faculty of Mathematics and Computer Science at the University of Bremen reflects groundbreaking developments in this field. For example, students gain insights into medical image processing and methods that can help physicians analyze increasingly complex situa- tions. To create a connection to practice, clinic employees also come to the university and are integrated into teaching operations. Headed by the physicist Horst Hahn and the physician Ron Kikinis, Fraunhofer MEVIS has been closely associated with the University of Bremen since its beginnings. Today's research center emerged from the Center for Complex Systems and Visualization (CeVis) at the Uni- versity of Bremen, which was founded in 1992, and similar to the university, is a member of the U Bremen Research Alliance. In addition to the university, the members of the association include 11 non-university research institutes from the region that are financed by state and federal governments. Employees of Fraunhofer MEVIS not only conduct joint research projects with colleagues from the University of Bremen, but have also been active in university teach- ing for many years. Harvard Professor Kikinis came to Bremen in 2014. Among other things, he heads the med- ical image computing working group at the Faculty of Mathematics and Computer Science. Professor Matthias Günther, head of the MR (magnetic resonance) physics working group at Fraunhofer MEVIS and professor of phys- ics, has been teaching at the university since 2009. In addition, he conducts research in the laboratory of magnetic resonance tomography, which has been operated jointly with the uni- versity since 2011. PCB007 Supporting the Digital Transformation in Medicine Dr. Hans Meine, senior research scientist and computer scientist at MEVIS, explains how medical computing helps to analyse medical images. (Source: MEVIS) Sugar-powered Sensor Detects and Prevents Disease A cross-disciplinary research team led by Subhanshu Gupta, assistant professor in Wash- ington State University's School of Electrical Engineering and Computer Science, has devel- oped an implantable, biofuel-powered sensor that runs on sugar and can monitor a body's biological signals to detect, prevent, and diag- nose diseases. The sensor could also remove the need to prick a finger for testing of certain diseases, such as diabetes. Professors Su Ha and Alla Kostyukova from the Gene and Linda School of Chemical Engi- neering and Bioengineering led the design of the biofuel cell. Their work recently was pub- lished in the IEEE Transactions on Circuits and Systems journal. The research team has dem- onstrated a unique integration of the biofuel