A Decade in Review: Use of Data Analytics Within the Biopharmaceutical Sector

Overview

Journal Curr Opin Chem Eng

Publisher Elsevier

Date 2021 Dec 20

PMID 34926134

Citations 5

Authors

Matthew Banner

Haneen Alosert

Christopher Spencer

Matthew Cheeks

Suzanne S Farid

Michael Thomas

Stephen Goldrick

Affiliations

Soon will be listed here.

Abstract

There are large amounts of data generated within the biopharmaceutical sector. Traditionally, data analysis methods labelled as multivariate data analysis have been the standard statistical technique applied to interrogate these complex data sets. However, more recently there has been a surge in the utilisation of a broader set of machine learning algorithms to further exploit these data. In this article, the adoption of data analysis techniques within the biopharmaceutical sector is evaluated through a review of journal articles and patents published within the last ten years. The papers objectives are to identify the most dominant algorithms applied across different applications areas within the biopharmaceutical sector and to explore whether there is a trend between the size of the data set and the algorithm adopted.

Citing Articles

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