About this course
This course examines how artificial intelligence is applied within healthcare and biomedical research. It covers core concepts in medical AI and explores applications in medical imaging, diagnostics, prognostics, and drug discovery. Students engage with clinical and HumanLab datasets to understand how models identify patterns, predict outcomes, and support decision making. The course also introduces AI driven tools for drug discovery and discusses challenges related to data quality, bias, fairness, and regulatory frameworks. Emphasis is placed on linking algorithmic methods to real clinical and biomedical contexts.
Syllabus
Summer 2027
This is a draft syllabus. The final syllabus will be available here a few days prior to the new course’s first start date.
Go to syllabusPrerequisites
One year of chemistry and one year of biology at university level.
