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Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Wu S, Okura F, Makihara Y, Aoki K, Niwa M, Yagi Y.
PMID: 34891657
Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1895-1901. doi: 10.1109/EMBC46164.2021.9630304.

Detecting low cognitive scores at an early stage is important for delaying the progress of dementia. Investigations of early-stage detection have employed automatic assessment using dual-task (i.e., performing two different tasks simultaneously). However, current approaches to dual-task-based detection are...

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Wu S, Okura F, Makihara Y, et al. Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network. Annu Int Conf IEEE Eng Med Biol Soc. 2021;2021:1895-1901doi: 10.1109/EMBC46164.2021.9630304.
Wu, S., Okura, F., Makihara, Y., Aoki, K., Niwa, M., & Yagi, Y. (2021). Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 20211895-1901. https://doi.org/10.1109/EMBC46164.2021.9630304
Wu, Shuqiong, et al. "Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference vol. 2021 (2021): 1895-1901. doi: https://doi.org/10.1109/EMBC46164.2021.9630304
Wu S, Okura F, Makihara Y, Aoki K, Niwa M, Yagi Y. Early Detection of Low Cognitive Scores from Dual-task Performance Data Using a Spatio-temporal Graph Convolutional Neural Network. Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:1895-1901. doi: 10.1109/EMBC46164.2021.9630304. PMID: 34891657.
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Tension pneumopericardium after falling from a height.

Oxford medical case reports

Kawai Y, Matsumoto S, Matsuo K, Aoki M.
PMID: 33732474
Oxf Med Case Reports. 2021 Mar 08;2021(3):omaa145. doi: 10.1093/omcr/omaa145. eCollection 2021 Mar.

No abstract available.

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Kawai Y, Matsumoto S, Matsuo K, et al. Tension pneumopericardium after falling from a height. Oxf Med Case Reports. 2021;2021(3):omaa145doi: 10.1093/omcr/omaa145.
Kawai, Y., Matsumoto, S., Matsuo, K., & Aoki, M. (2021). Tension pneumopericardium after falling from a height. Oxford medical case reports, 2021(3), omaa145. https://doi.org/10.1093/omcr/omaa145
Kawai, Yoshiaki, et al. "Tension pneumopericardium after falling from a height." Oxford medical case reports vol. 2021,3 (2021): omaa145. doi: https://doi.org/10.1093/omcr/omaa145
Kawai Y, Matsumoto S, Matsuo K, Aoki M. Tension pneumopericardium after falling from a height. Oxf Med Case Reports. 2021 Mar 08;2021(3):omaa145. doi: 10.1093/omcr/omaa145. eCollection 2021 Mar. PMID: 33732474; PMCID: PMC7947268.
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Multicentric glioblastoma in a 4-year-old female patient: A case report.

Molecular and clinical oncology

Enomoto T, Aoki M, Kouzaki T, Takahara M, Abe H, Nomura Y, Hirose S, Inoue T, Nabeshima K.
PMID: 33767859
Mol Clin Oncol. 2021 May;14(5):90. doi: 10.3892/mco.2021.2252. Epub 2021 Mar 05.

In the USA and Germany, pediatric glioblastoma (pGBM) makes up

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Enomoto T, Aoki M, Kouzaki T, et al. Multicentric glioblastoma in a 4-year-old female patient: A case report. Mol Clin Oncol. 2021;14(5):90doi: 10.3892/mco.2021.2252.
Enomoto, T., Aoki, M., Kouzaki, T., Takahara, M., Abe, H., Nomura, Y., Hirose, S., Inoue, T., & Nabeshima, K. (2021). Multicentric glioblastoma in a 4-year-old female patient: A case report. Molecular and clinical oncology, 14(5), 90. https://doi.org/10.3892/mco.2021.2252
Enomoto, Toshiyuki, et al. "Multicentric glioblastoma in a 4-year-old female patient: A case report." Molecular and clinical oncology vol. 14,5 (2021): 90. doi: https://doi.org/10.3892/mco.2021.2252
Enomoto T, Aoki M, Kouzaki T, Takahara M, Abe H, Nomura Y, Hirose S, Inoue T, Nabeshima K. Multicentric glioblastoma in a 4-year-old female patient: A case report. Mol Clin Oncol. 2021 May;14(5):90. doi: 10.3892/mco.2021.2252. Epub 2021 Mar 05. PMID: 33767859; PMCID: PMC7976450.
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Reliability of IDH1-R132H and ATRX and/or p53 immunohistochemistry for molecular subclassification of Grade 2/3 gliomas.

Brain tumor pathology

Nishikawa T, Watanabe R, Kitano Y, Yamamichi A, Motomura K, Ohka F, Aoki K, Hirano M, Kato A, Yamaguchi J, Maeda S, Kibe Y, Saito R, Wakabayashi T, Kato Y, Sato S, Ogino T, Natsume A, Ito I.
PMID: 34826036
Brain Tumor Pathol. 2022 Jan;39(1):14-24. doi: 10.1007/s10014-021-00418-x. Epub 2021 Nov 26.

Since the World Health Organization 2016 classification (2016 WHO), genetic status has been incorporated into the diagnosis of Grade 2/3 gliomas (lower-grade gliomas). Therefore, immunohistochemistry (IHC) of IDH1-R132H, ATRX, and p53 have been used in place of genetic status....

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Nishikawa T, Watanabe R, Kitano Y, et al. Reliability of IDH1-R132H and ATRX and/or p53 immunohistochemistry for molecular subclassification of Grade 2/3 gliomas. Brain Tumor Pathol. 2021;39(1):14-24doi: 10.1007/s10014-021-00418-x.
Nishikawa, T., Watanabe, R., Kitano, Y., Yamamichi, A., Motomura, K., Ohka, F., Aoki, K., Hirano, M., Kato, A., Yamaguchi, J., Maeda, S., Kibe, Y., Saito, R., Wakabayashi, T., Kato, Y., Sato, S., Ogino, T., Natsume, A., & Ito, I. (2022). Reliability of IDH1-R132H and ATRX and/or p53 immunohistochemistry for molecular subclassification of Grade 2/3 gliomas. Brain tumor pathology, 39(1), 14-24. https://doi.org/10.1007/s10014-021-00418-x
Nishikawa, Tomohide, et al. "Reliability of IDH1-R132H and ATRX and/or p53 immunohistochemistry for molecular subclassification of Grade 2/3 gliomas." Brain tumor pathology vol. 39,1 (2022): 14-24. doi: https://doi.org/10.1007/s10014-021-00418-x
Nishikawa T, Watanabe R, Kitano Y, Yamamichi A, Motomura K, Ohka F, Aoki K, Hirano M, Kato A, Yamaguchi J, Maeda S, Kibe Y, Saito R, Wakabayashi T, Kato Y, Sato S, Ogino T, Natsume A, Ito I. Reliability of IDH1-R132H and ATRX and/or p53 immunohistochemistry for molecular subclassification of Grade 2/3 gliomas. Brain Tumor Pathol. 2022 Jan;39(1):14-24. doi: 10.1007/s10014-021-00418-x. Epub 2021 Nov 26. PMID: 34826036.
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Identification of ksg1 mutation showing long-lived phenotype in fission yeast.

Genes to cells : devoted to molecular & cellular mechanisms

Matsui K, Okamoto K, Hasegawa T, Ohtsuka H, Shimasaki T, Ihara K, Goto Y, Aoki K, Aiba H.
PMID: 34534388
Genes Cells. 2021 Dec;26(12):967-978. doi: 10.1111/gtc.12897. Epub 2021 Sep 26.

Fission yeast is a good model organism for the study of lifespan. To elucidate the mechanism, we screened for long-lived mutants. We found a nonsense mutation in the ksg1

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Matsui K, Okamoto K, Hasegawa T, et al. Identification of ksg1 mutation showing long-lived phenotype in fission yeast. Genes Cells. 2021;26(12):967-978doi: 10.1111/gtc.12897.
Matsui, K., Okamoto, K., Hasegawa, T., Ohtsuka, H., Shimasaki, T., Ihara, K., Goto, Y., Aoki, K., & Aiba, H. (2021). Identification of ksg1 mutation showing long-lived phenotype in fission yeast. Genes to cells : devoted to molecular & cellular mechanisms, 26(12), 967-978. https://doi.org/10.1111/gtc.12897
Matsui, Kotaro, et al. "Identification of ksg1 mutation showing long-lived phenotype in fission yeast." Genes to cells : devoted to molecular & cellular mechanisms vol. 26,12 (2021): 967-978. doi: https://doi.org/10.1111/gtc.12897
Matsui K, Okamoto K, Hasegawa T, Ohtsuka H, Shimasaki T, Ihara K, Goto Y, Aoki K, Aiba H. Identification of ksg1 mutation showing long-lived phenotype in fission yeast. Genes Cells. 2021 Dec;26(12):967-978. doi: 10.1111/gtc.12897. Epub 2021 Sep 26. PMID: 34534388.
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Risk Factors Associated with the Development of Metastases in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Retrospective Analysis.

Journal of clinical medicine

Kohno S, Ikegami M, Ikegami T, Aoki H, Ogawa M, Yano F, Eto K.
PMID: 35011798
J Clin Med. 2021 Dec 23;11(1). doi: 10.3390/jcm11010060.

Neuroendocrine tumors develop from systemic endocrine and nerve cells, and their occurrence has increased recently. Since these tumors are heterogeneous, pathological classification has been based on the affected organ. In 2019, the World Health Organization introduced a change expected...

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Kohno S, Ikegami M, Ikegami T, et al. Risk Factors Associated with the Development of Metastases in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Retrospective Analysis. J Clin Med. 2021;11(1)doi: 10.3390/jcm11010060.
Kohno, S., Ikegami, M., Ikegami, T., Aoki, H., Ogawa, M., Yano, F., & Eto, K. (2021). Risk Factors Associated with the Development of Metastases in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Retrospective Analysis. Journal of clinical medicine, 11(1), . https://doi.org/10.3390/jcm11010060
Kohno, Shuzo, et al. "Risk Factors Associated with the Development of Metastases in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Retrospective Analysis." Journal of clinical medicine vol. 11,1 (2021). doi: https://doi.org/10.3390/jcm11010060
Kohno S, Ikegami M, Ikegami T, Aoki H, Ogawa M, Yano F, Eto K. Risk Factors Associated with the Development of Metastases in Patients with Gastroenteropancreatic Neuroendocrine Tumors: A Retrospective Analysis. J Clin Med. 2021 Dec 23;11(1). doi: 10.3390/jcm11010060. PMID: 35011798; PMCID: PMC8745312.
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Showing 2425 to 2430 of 2430 entries