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Wed. Dec 3, 2025

Thu. Dec 4, 2025

Fri. Dec 5, 2025

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Quantification of histopathological images utilizing deep neural networks

Biomedical data is diversifying due to advances in bioinformatics, including high-dimensional genomics and various imaging techniques. To harness this complexity, mathematical data science is crucial. Here, we will introduce cutting-edge technologies in biomedical research, such as AI, machine learning, topological data analysis, and high-dimensional statistics, with practical examples, offering a platform for participants to discover tools for their own data analysis needs.

【E】Future of mathematical data science driven biomedical research

The 48th Annual Meeting of the Molecular Biology Society of Japan

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[1MS-09-02]Quantification of histopathological images utilizing deep neural networks

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