Advancing Medicine Through Machine Learning

Program Overview

Machine learning presents new opportunities to advance medical care and research. Far from a future promise, applications of machine learning tools are being used today, with more soon at hand. But are today’s researchers and medical professionals ready to harness these tools to their greatest impact? This symposium will present the current and near-future state of machine learning and discuss both the opportunities and challenges for its application in medicine. The symposium will feature numerous international experts and include a keynote address from Isaac Kohane MD PhD, the inaugural Chair of the Department of Biomedical Informatics at Harvard Medical School.

Learning Objectives

  • Identify the potential role of machine learning in medicine
  • Recognize the difference between machine learning, neural networks, and deep learning
  • Critically evaluate proposed new machine learning tools as it applies to imaging, pathology, pediatrics, brain science and mental health


Target Audience

  • Internal Medicine Specialists
  • Laboratory Medicine and Pathology Specialists
  • Medical Imaging Specialists
  • Psychiatry Specialists
  • Paediatrics Specialists
  • Medical Researcher/Scientists