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Yields of mesenchymal stromal cells from synovial fluid reflect those from synovium in patients with rheumatoid arthritis.

Tissue & cell

Kohno Y, Mizuno M, Endo K, Ozeki N, Katano H, Matsumoto M, Kaneko H, Takazawa Y, Koga H, Sekiya I.
PMID: 34998163
Tissue Cell. 2022 Jan 04;75:101727. doi: 10.1016/j.tice.2021.101727. Epub 2022 Jan 04.

The yield of primary synovial mesenchymal stromal cells (MSCs) from synovium of patients with rheumatoid arthritis (RA) is highly variable, but cell transplantation therapy with autologous synovial MSCs requires accurate prediction of the synovial MSC yield per synovium weight....

Cite
Kohno Y, Mizuno M, Endo K, et al. Yields of mesenchymal stromal cells from synovial fluid reflect those from synovium in patients with rheumatoid arthritis. Tissue Cell. 2022;75:101727doi: 10.1016/j.tice.2021.101727.
Kohno, Y., Mizuno, M., Endo, K., Ozeki, N., Katano, H., Matsumoto, M., Kaneko, H., Takazawa, Y., Koga, H., & Sekiya, I. (2022). Yields of mesenchymal stromal cells from synovial fluid reflect those from synovium in patients with rheumatoid arthritis. Tissue & cell, 75101727. https://doi.org/10.1016/j.tice.2021.101727
Kohno, Yuji, et al. "Yields of mesenchymal stromal cells from synovial fluid reflect those from synovium in patients with rheumatoid arthritis." Tissue & cell vol. 75 (2022): 101727. doi: https://doi.org/10.1016/j.tice.2021.101727
Kohno Y, Mizuno M, Endo K, Ozeki N, Katano H, Matsumoto M, Kaneko H, Takazawa Y, Koga H, Sekiya I. Yields of mesenchymal stromal cells from synovial fluid reflect those from synovium in patients with rheumatoid arthritis. Tissue Cell. 2022 Jan 04;75:101727. doi: 10.1016/j.tice.2021.101727. Epub 2022 Jan 04. PMID: 34998163.
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Deep learning-based model for diagnosing Alzheimer's disease and tauopathies.

Neuropathology and applied neurobiology

Koga S, Ikeda A, Dickson DW.
PMID: 34402107
Neuropathol Appl Neurobiol. 2021 Aug 17; doi: 10.1111/nan.12759. Epub 2021 Aug 17.

AIMS: This study aimed to develop a deep learning-based model for differentiating tauopathies, including Alzheimer's disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD) and Pick's disease (PiD), based on tau-immunostained digital slide images.METHODS: We trained the YOLOv3 object...

Cite
Koga S, Ikeda A, Dickson DW. Deep learning-based model for diagnosing Alzheimer's disease and tauopathies. Neuropathol Appl Neurobiol. 2021;doi: 10.1111/nan.12759.
Koga, S., Ikeda, A., & Dickson, D. W. (2021). Deep learning-based model for diagnosing Alzheimer's disease and tauopathies. Neuropathology and applied neurobiology, . https://doi.org/10.1111/nan.12759
Koga, Shunsuke, et al. "Deep learning-based model for diagnosing Alzheimer's disease and tauopathies." Neuropathology and applied neurobiology vol. (2021). doi: https://doi.org/10.1111/nan.12759
Koga S, Ikeda A, Dickson DW. Deep learning-based model for diagnosing Alzheimer's disease and tauopathies. Neuropathol Appl Neurobiol. 2021 Aug 17; doi: 10.1111/nan.12759. Epub 2021 Aug 17. PMID: 34402107.
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