Foundations in Biomedical Informatics II

4 credits, Spring Semester

This introductory course provides a survey of artificial intelligence for biomedical informatics. It introduces machine learning problems from a practical perspective and covers methods for key data modalities: clinical data, networks, text, and images. It outlines foundational techniques and emphasizes the subtleties of working with biomedical data as well as ways to validate and transition machine learning tools into biomedical and clinical implementation. An important consideration in this course is the broader impact of artificial intelligence tools in biology and medicine, particularly topics of bias and fairness, interpretability, and ethical and legal considerations when dealing with data-driven AI.

BMI 702 is only open to students in the Master of Biomedical Informatics program.

Prerequisites: BMI 701 and BMI 713 or equivalent. 

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