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Agita Solzemniece is a PhD student at the Technical University of Denmark specializing in the development of AI-integrated pooling strategies aimed at enhancing patient care in hospitals. Her ongoing project entails the PhD process, focusing on delivering content that extracts insights and generates reports to understand service usage and facilitate access to information stored on devices. With a keen interest in utilizing artificial intelligence to improve healthcare outcomes, Solzemniece collaborates closely with her supervisor, Hübner, to explore innovative methodologies in this critical field. Her research aims to address real-world challenges in patient care through data-driven solutions, reflecting her commitment to advancing medical practices using technology.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.