The 5th annual Advanced Pharma Analytics Europe Summit 2018 is dedicated to bringing together Data Science and Advanced Analytics leaders to address the biggest challenges and opportunities in this space. Andrew Cox, Research Scientist, Real-World Evidence, will be presenting Machine Learning for Late Stage Development: Realising the Potential, at 12:45pm on January 30.

Presentation synopsis:

  • Analysing how machine learning approaches are frequently used in early stage drug development, but rarely applied in later stage development
  • Detailing on the enormous potential of machine learning for late stage support – adapting to the changing data landscape where larger volumes of data, increasing numbers of variables and messier data is often encountered
  • Exploring the potential pitfalls and benefits of machine learning in late stage applications and highlight best practices toward creation for industry guidelines

Andrew will also be participating in the following issue panel: Broadening Horizons for Real-World Evidence Analytics.