- Big Data and Astronomy
- Clinical Big Data and Precision Medicine
- Algorithms to extract text information
- Neural networks applications in industrial setting
- Data science and healthcare
Big Data and Astronomy
"Astronomy is rapidly becoming a field of extraordinarily large and complex data sets that need state-of-the-art analysis techniques. Thanks to DSSC, collaborations have started with experts in pattern recognition and machine learning that allow my research group to make the next step in analysing our data." Leon Koopmans, Kapteyn Astronomical Institute, University of Groningen.
Clinical Big Data and Precision Medicine
"The expertise in statistics, bayesian models and data science at the DSSC helps us to reconstruct molecular networks from quantitative molecular data in cancer and chronic obstructive pulmonary disease development, which we aim to translate into novel clinical diagnostics allowing more efficient personalized treatments." Peter Horvatovich, Groningen Institute of Pharmacy.
Algorithms to extract text information
“Schlesinger Library, Radcliffe Institute for Advanced Study, Harvard University, continues a productive and important collaboration with Professor Schomaker of the DSSC on the Monk project. This summer, researchers at the DSSC hosted one of our librarians for a week, giving him an in-depth orientation to the Monk system. Schlesinger Library has uploaded more than 3,500 pages of handwritten manuscript material from the papers of feminist intellectual Charlotte Perkins Gilman to the Monk system at the AI department of the University of Groningen, which participates in the DSSC, for continuous labeling and text recognition. This collaboration with DSSC researchers promises to open new research frontiers for humanists to work on large-scale digital projects with handwritten manuscript material.” Marilyn A Dunn, Executive Director, Schlesinger Library on the History of Women in America, Harvard University.
Neural networks applications in industrial setting
"We had a very successful project in using neural networks for prediction of car colors, together with an AI master student from the DSSC." Klaas de Haas, Staff Scientist Color Innovation, Valspar Corporation.
Data science and healthcare
“Modern healthcare is all about data. An abundance of data, also including measurements and imaging data, is collected by people themselves (quantified self) but also by healthcare institution. To allow medical experts to obtain a proper diagnosis and determine the correct treatment these data have to be interpreted. Because of the wealth of data this increasingly becomes a challenge where data science will play a pivotal role in the future. Therefore, data scientists such as trained in DSSC will be increasingly employed in healthcare institutions in the future to help collect, analyze and interpret the collected data.” Peter van Ooijen, Discipline leader, Center for Medical Imaging North East Netherlands, scientific researcher University Medical Centre Groningen.
|Last modified:||16 May 2019 4.23 p.m.|