Author

T. Nishino

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 1 Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

A. Ishihara· 1 shared A. Kanaya· 1 shared D. Bolidong· 1 shared H. Mukai· 1 shared K. Matoba· 1 shared M. Manano· 1 shared M. Ueda· 1 shared N. Kakuta· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperEcology

A. Ishihara

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioengineeringbioRxivPreprintSep 25, 2023

Surface-engineered extracellular vesicles to modulate antigen-specific T cell expansion for cancer immunotherapy

X. Lyu, T. Yamano, S. Imai…·R. Hanayama

The paper develops antigen-presenting extracellular vesicles (AP-EVs) engineered to enhance T cell expansion and anticancer immunity through combined immunotherapy.

DOI 10.1101/2023.09.25.559260

experimental assaycancer & tumor microenvironment

𝕏 PostBluesky

EcologybioRxivPreprintMar 12, 2023

Length estimation of fish detected as non-occluded using a smartphone application and deep learning techniques

Y. Shibata, Y. Iwahara, M. Manano…·S. Kugai

This paper proposes a deep learning method to estimate fish length from images using a smartphone app, achieving less than 3% bias across five species.

DOI 10.1101/2023.03.12.532319

imagingdeep learning

𝕏 PostBluesky