Graduate School of Medicine
The University of Tokyo
Department of Preventive Medicine, The University of Tokyo
Melbourne School of Population and Global Health, The University of Melbourne
2026/4/10: We will organize a symposium in BMB2026.
2025/12/20: We will hold IMAB2026 (The Second International Workshop on Mathematics and AI for Biomedicine) on November 30th, 2026. Registration is open!
2025/12/4: Organized IMAB2025 (The First International Workshop on Mathematics and AI for Biomedicine)
2025/12/3: Organized a symposium in MBSJ: "Future of mathematical data science driven biomedical research"
BioMedicine is becoming increasingly data-driven, characterized by greater complexity and diversity than ever before. To fully harness the value of this data, it is crucial to develop innovative analysis methods based on advanced mathematical sciences.
A particularly significant challenge lies in how we recognize and interpret patterns, as biomedical data is abundant with various patterns, such as cell shapes and movements, branching morphologies in vessels and airways, and cell distribution patterns in histology and pathology. Recent advancements in data acquisition technologies, including 3D imaging, have also enabled us to access 3D and higher-dimensional data.
To analyze these patterns effectively, we can utilize concepts from topology, the study of shapes. We have been exploring the efficacy of topological information in the processing and understanding of biomedical data. We also combine these tools with machine learning method to build better performing frameworks.
Through the development of innovative tools and the generation of new knowledge, we are dedicated to advancing all domains of biomedical science—encompassing basic, clinical, and social aspects—in order to foster a transformative understanding of the world.
A collection of image segmentation methods using persistent homology.
Read MoreQuantification of 3D airway morphology based on persistent homology transform.
Read MoreDefining internal and external structure in ambiguous branch images.
Read MoreUnderstanding pathology patch patterns by extracting topological information.
Read MoreMay-June 2025
June 2024
April-May 2024
2026
2025 (企画メンバーリーダー)
2025-
2025-
2025
2025-
2024
2024
2023
1
1
2
日本応用数理学会
日本分子生物学会
日本血管生物医学会
日本癌学会