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María de Maeztu Program
Data- and knowledge-driven (machine learning; image&signal analysis; computational modelling) algorithms are used to support both the extraction of pertinent information from the current (large dataset) information sources as well as for supporting optimal decision-making for biomedical research as well as patient treatment.
These approaches used allow to do supervised learning to suggest the most efficient approach for data analysis and decision processes to address a specific clinical question, as well as to perform unsupervised analysis of the data, enabling the suggestion of novel information content towards further hypothesis-driven assessment of the data thus supporting new discoveries in biomedical research as well as address clinic questions. Challenges include data dimensionality reduction and data-driven decision-making.