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Artificial Intelligence in Medicine II

Harvard - BMIF 203 and BMI 702, Spring 2026

Advances in AI will have a broad and profound impact on science and medicine, offering new approaches to transform medical research and practice. This course provides a comprehensive overview of cutting-edge AI paradigms, including self-supervised learning, generative models, and multimodal techniques that integrate diverse data types. Beyond foundational methods, the course dives into a range of real-world applications in natural language processing, medical image analysis, relational and structure understanding, and longitudinal patient data.

Faculty Instructor

Marinka Zitnik

marinka@hms.harvard.edu

Office Hours: Mon, 12pm - 1pm, Countway 309

Curriculum Fellow


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