Data Management in Biomedicine

Summary

Applications of Artificial Intelligence in medicine began at the beginning of the 1970s, centered at its inception on knowledge-based systems. Two decades later, various limitations of this approach caused the area to partially shift focus towards data-centered applications. The different -omics projects that appeared after the Human Genome Project and the increasingly available electronic health records, clinical trials data as well as a huge number of data resources available over the Web led to directions such as Big Data-related research, among others. In this seminar we will see this evolution, main different approaches, methods and techniques for data management in biomedicine, and its advantages and limitations.