Course Topics

A description of some of the topics that will be covered in class follows below. Related resources are provided for each topic.

R for reading
V for video
T for twitter account

Mobile Health (mHealth), Digital Health and Electronic Health records (EHRs)

Mobile Health (mHealth) is the field defined asĀ  “medical and public health practice supported by mobile devices”, such as smartphones, tablets, and wearable devices.

Personalized Medicine (Precision Medicine)

In Personalized (or Precision) Medicine, the medical treatment to an individual is guided by the individual’s genetic information. The doctors select treatments that are most likely to help patients based on a genetic understanding of their disease.

Deep Learning

Deep learning is a branch of artificial intelligence that uses mathematical models (neural networks) to complete complex classification tasks. Deep learning in healthcare has been applied in many forms, medical imaging and diagnostics, decision support systems,Ā  electronic medical records systems, drug discovery, disease prediction, and more.


Epigenomics is the field that studies epigenetic modifications on the genetic material of a cell, such as post-translational modifications and DNA methylation. Epigenetic changes do not alter the nucleic acids, and are heritable.

Genetic Privacy

The discussion around the ability to identify individuals or infer specific characteristics of individuals based on their genetic sequence.

Decision Support Systems in Healthcare

Computer-based programs that analyze data within electronic health records and provide timely information to assist healthcare providers in making decisions about a patient’s care.

Natural Language Processing

Natural language processing (NLP) is an artificial intelligence branch that allows computers to analyze and interpret speech and text. In healthcare NLP has been used in a plethora of applications, from speech recognition, data mining research, chatbots, clinical documentation, to population surveillance, and computational phenotyping.

Evolutionary Genomics

The field that studies how genetic variation contributes to evolutionary changes.