Predictive Analytics in Life Sciences: Leveraging Machine Learning for Drug Development
Author(s): Ramesh Betha
Publication #: 2501113
Date of Publication: 13.04.2020
Country: USA
Pages: 1-7
Published In: Volume 6 Issue 2 April-2020
DOI: https://doi.org/10.5281/zenodo.14763865
Abstract
This white paper explores the transformative potential of predictive analytics and machine learning in drug development within the life sciences sector. We examine how these technologies are revolutionizing traditional drug discovery processes, reducing development timelines, and improving success rates. The paper discusses current applications, challenges, and future prospects of machine learning in pharmaceutical research and development, with a particular focus on target identification, lead optimization, and clinical trial design.
Keywords: Machine Learning, Drug Development, Analytics
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