Applications of Macine Learning in Pharma & Medicine

The central idea of translational medicine is that we can propose the most suitable treatment for a different group of patients. Dr. Su will explain the mechanics of how translational medicine works with the algorithm. The algorithms can do predictive modeling or perform clustering, to deliver the prediction of patient outcomes.

Next, she will give examples of applications of machine learning in the medical field.

• Disease Identification
• Personalized Medicine
• Drug Discovery
• Clinical Trial Research
• Radiology and Radiotherapy
• Smart Electronic Health Records
• Epidemic Outbreak Prediction