Prof. Monica Bianchini

Argomenti del programma: Modulo Bioinformatics: Molecular biology and biochemistry Biological database searches and pairwise alignments Substitution patterns Distance-based phylogenetic methods Character-based phylogenetic methods Genomics and gene recognition Prediction of protein and RNA structures Proteomics Machine learning tools for Bioinformatics: Unsupervised learning and clustering, neural networks for structured data

Argomenti del programma: Modulo Bioinformatics: Molecular biology and biochemistry Biological database searches and pairwise alignments Substitution patterns Distance-based phylogenetic methods Character-based phylogenetic methods Genomics and gene recognition Prediction of protein and RNA structures Proteomics Machine learning tools for Bioinformatics: Unsupervised learning and clustering, neural networks for structured data

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Argomenti del programma: Mod. Information Systems for Biomedical Data 1- Introduction to Health Information Systems: Understanding health information systems; analysing biomedical data; distinguishing between clinical and administrative data; digital transformation in healthcare; practical examples.