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Preclinical, Clinical and Translational Sciences
Prologue

Prologue: Employing Machine Learning to Image, Quantify, and Predict Pharmacokinetics to Support Drug Development

On Demand
Location:Online Only

Preclinical & Translation Sciences

    Prologue Speaker(s)

  • Conor Evans, PhD

    Associate Professor
    Massachusetts General Hospital / Harvard Medical School
    Charlestown, Massachusetts

This presentation serves as an introduction to machine learning methods for pharmaceutical research and drug development.

To view all Prologues, visit our library here and click "Enroll".

Learning Objectives:

  • Explain the difference between Artificial Intelligence, Machine Learning, and Deep Learning
  • Understand how machine learning methods can be used to predict pharmacokinetics
  • Understand how deep learning methods can be applied to imaging data to quantify pharmacokinetics