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Masahiko Kuroda

Tokyo Medical University - Department of Molecular Pathology

Japan

SCHOLARLY PAPERS

2

DOWNLOADS

270

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Predictive Performance of Postoperative Recurrence in Lung Squamous Cell Carcinoma Using Machine Learning Based on Nuclear Morphological Features

Number of pages: 32 Posted: 12 Feb 2025
University of Tokyo - Department of Surgery, Tokyo Medical University, University of Tokyo - Department of Surgery, Tokyo Medical University - Department of Molecular Pathology and Tokyo Medical University
Downloads 213 (359,492)

Abstract:

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artificial intelligence, lung cancer, Squamous cell carcinoma, Digital pathology, Recurrence

2.

Alternate Structure Controls For Phase Separation and Toxicity of Poly(PR) C9ORF72 Dipeptide

Number of pages: 32 Posted: 19 Oct 2020
Tokyo Institute of Technology - Department of Materials Science and Engineering, Tokyo Medical University - Department of Molecular Pathology, Japanese Foundation for Cancer Research - Cancer Proteomics Group, Tokyo Institute of Technology - Department of Materials Science and Engineering, Tokyo Medical University - Department of Molecular Pathology, Tokyo Institute of Technology - Department of Materials Science and Engineering, National Research Institute for Child Health and Development - Department of Molecular Endocrinology, Keio University - Institute for Advanced Biosciences, Tokyo Medical University - Department of Molecular Pathology, Tokyo Institute of Technology - Department of Materials Science and Engineering and Tokyo Medical University - Department of Molecular Pathology
Downloads 57 (989,921)

Abstract:

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Dipeptide repeat protein, ALS, C9orf72, liquid-liquid phase separation, quantitative proteomics, nucleophosmin, multivalent interaction