The 5th Clinic Meets Data Science Symposium will present current progress in clinical data science, emphasizing cutting-edge and future applications alongside relevant tools. It will also explore the potential and opportunities data science offers for everyday clinical practice.
Clinical Data Science involves creating computational software, mathematical models, machine learning algorithms, and databases for clinical use. The increasing digitalization and expanding data volumes within hospitals have heightened the need for clinical data science to optimize patient care, improve healthcare quality, and further clinical research.
This year’s symposium will concentrate on the application of data science in cancer research, image analysis, Large Language Models (LLMs), and data management within the hospital setting.