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

Coming soon

This is the most recent syllabus for this course

Prerequisites

One year of chemistry and one year of biology at university level.

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