Author: Sean Scroggie

MSc Project Intern at REPROCELL, Glasgow
Sean is an Anatomy graduate (BSc) studying for Stratified Medicine and Pharmacological Innovation (MSc) at the University of Glasgow. You can find him on LinkedIn

Machine Learning and Big Data in Precision Medicine

Healthcare data is predicted to expand by 43 percent by 2020, to an incomprehensible level of 2.3 zettabytes. The size of the data is also not the only inevitable issue, it’s the type of data. Eighty percent of it is completely unstructured and mostly unlabelled, meaning organizations will find it increasingly difficult to extract any value or outcomes from the datasets [1].

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