Biomedical data science

Analysis of large datasets to understand living systems

Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data. It can be viewed as the study and application of data science to solve biomedical problems. Modern biomedical datasets often have specific features which make their analyses difficult, including:Large numbers of feature, typically far larger than the number of samples Noisy and missing data Privacy concerns Requirement of interpretability from decision makers and regulatory bodies

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