PharmaVOICE Blog Post

Machine Learning – Biopharma Applications and Overview of Key Steps for Successful Implementation

Posted By: Dan Limbach
November 12, 2018

Evidera recently wrote an article on utilizing Machine Learning and Big Data to achieve better results. This article reviews applications that increase efficiency and allow more convincing value demonstration, broadly following a product’s lifecycle from drug discovery to drug repositioning.

Key areas for Machine Learning include

  • Drug discovery
  • Clinical trials
  • Wearables
  • Pharmacovigilance
  • Precision medicine
  • Adherence prediction
  • Drug repositioning

Going from big data to improved efficiency in business and clinical benefits, however, requires at least a broad understanding of the steps a project team needs to take to implement a successful data analysis project. These steps are included in the article.

Download the full pdf article now. (it should be saved to your “Downloads” folder automatically after clicking)

http://bit.ly/biopharma-machine-learning
(it should be saved to your “Downloads” folder automatically after clicking)

About the Blog Poster: Dan Limbach

Post a Comment

You must be logged in to post a Comment.

FEEDBACK