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Stanford University

Generative AI for Multimodal Biomedicine

Stanford University via YouTube

Overview

Explore groundbreaking developments in multimodal biomedicine foundation models through a Stanford University seminar presented by Sheng Wang, Assistant Professor at the University of Washington Seattle's School of Computer Science and Engineering. Discover three innovative works: GigaPath, a pioneering whole-slide pathology foundation model capable of processing gigapixel-level images; OCTCube, the first foundation model designed for 3D OCT retinal imaging; and BiomedParse, an advanced multi-modal foundation model that unifies nine major biomedical imaging modalities by converting them into text space. Learn about the potential of multi-modal generative AI in advancing medical applications through multi-agent frameworks and integration with multi-omics datasets in this hour-long recorded presentation from November 6, 2024.

Syllabus

HAI Seminar with Sheng Wang: Generative AI for Multimodal Biomedicine

Taught by

Stanford HAI

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