Biomarker Discovery

Biomarker discovery is the process of identifying and validating molecules, genes, or characteristics that can be used as indicators of a biological state or disease. In the context of data science, biomarker discovery involves the analysis of large datasets to identify patterns and correlations that can be used to develop predictive models. This process often involves the use of machine learning algorithms to identify features that are most strongly associated with a particular outcome. Biomarker discovery has the potential to revolutionize the diagnosis and treatment of diseases by enabling earlier detection and more targeted therapies.

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Biomarker Discovery

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