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344 results on '"Asai, Yoshiyuki"'

3. Butyricimonas is a key gut microbiome component for predicting postoperative recurrence of esophageal cancer

Author

Otsuka, Koji, Isobe, Junya, Asai, Yoshiyuki, Nakano, Tomohisa, Hattori, Kouya, Ariyoshi, Tomotake, Yamashita, Takeshi, Motegi, Kentaro, Saito, Akira, Kohmoto, Masahiro, Hosonuma, Masahiro, Kuramasu, Atsuo, Baba, Yuta, Murayama, Masakazu, Narikawa, Yoichiro, Toyoda, Hitoshi, Funayama, Eiji, Tajima, Kohei, Shida, Midori, Hirasawa, Yuya, Tsurui, Toshiaki, Ariizumi, Hirotsugu, Ishiguro, Tomoyuki, Suzuki, Risako, Ohkuma, Ryotaro, Kubota, Yutaro, Sambe, Takehiko, Tsuji, Mayumi, Wada, Satoshi, Kiuchi, Yuji, Kobayashi, Shinichi, Horiike, Atsushi, Goto, Satoru, Murakami, Masahiko, Kim, Yun-Gi, Tsunoda, Takuya, and Yoshimura, Kiyoshi

Published
2024
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5. Integrative and theoretical research on the architecture of a biological system and its disorder.

Author

Uchida, Shinichi, Asai, Yoshiyuki, Kariya, Yoshiaki, Tsumoto, Kunichika, Hibino, Hiroshi, Honma, Masashi, Abe, Takeshi, Nin, Fumiaki, Kurata, Yasutaka, Furutani, Kazuharu, Suzuki, Hiroshi, Kitano, Hiroaki, Inoue, Ryuji, and Kurachi, Yoshihisa

Subjects
Animals, Humans, Disease, Computational Biology, Systems Biology, Research, Computer Simulation, Software, Japan, Computer simulation, Omics study, Physiological experiments, Software platform, Systems biology, Physiology, Medical Physiology
Abstract

An organism stems from assemblies of a variety of cells and proteins. This complex system serves as a unit, and it exhibits highly sophisticated functions in response to exogenous stimuli that change over time. The complete sequencing of the entire human genome has allowed researchers to address the enigmas of life and disease at the gene- or molecular-based level. The consequence of such studies is the rapid accumulation of a multitude of data at multiple levels, ranging from molecules to the whole body, that has necessitated the development of entirely new concepts, tools, and methodologies to analyze and integrate these data. This necessity has given birth to systems biology, an advanced theoretical and practical research framework that has totally changed the directions of not only basic life science but also medicine. During the symposium of the 95th Annual Meeting of The Physiological Society of Japan 2018, five researchers reported on their respective studies on systems biology. The topics included reactions of drugs, ion-transport architecture in an epithelial system, multi-omics in renal disease, cardiac electrophysiological systems, and a software platform for computer simulation. In this review article these authors have summarized recent achievements in the field and discuss next-generation studies on health and disease.

Published
2019

11. Granger Causality to Reveal Functional Connectivity in the Mouse Basal Ganglia-Thalamocortical Circuit

Author

Lintas, Alessandra, Abe, Takeshi, Villa, Alessandro E. P., Asai, Yoshiyuki, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Kůrková, Věra, editor, Manolopoulos, Yannis, editor, Hammer, Barbara, editor, Iliadis, Lazaros, editor, and Maglogiannis, Ilias, editor

Published
2018
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15. Accurate Quantification of Glandularity and Its Applications with Regard to Breast Radiation Doses and Missed Lesion Rates During Individualized Screening Mammography

Author

Yamamuro, Mika, Yamada, Kanako, Asai, Yoshiyuki, Yamada, Koji, Ozaki, Yoshiaki, Matsumoto, Masao, Murakami, Takamichi, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tingberg, Anders, editor, Lång, Kristina, editor, and Timberg, Pontus, editor

Published
2016
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21. Introduction

Author

Nomura, Taishin, Asai, Yoshiyuki, Tanaka, Masao, editor, Nomura, Taishin, editor, and Asai, Yoshiyuki, editor

Published
2011
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24. Software Platform for Metabolic Network Reconstruction of Mycobacterium tuberculosis

Author

Ghosh, Samik, Matsuoka, Yukiko, Asai, Yoshiyuki, Kitano, Hiroaki, Bhardwaj, Anshu, Scaria, Vinod, Vashisht, Rohit, Shah, Anup, Mondal, Anupam Kumar, Vishnoi, Priti, Sonal, Kumari, Jain, Akanksha, Priyadarshini, Priyanka, Bhattacharyya, Kausik, Kumar, Vikas, Passi, Anurag, Sharma, Pratibha, Brahmachari, Samir, McFadden, Johnjoe, editor, Beste, Dany J.V., editor, and Kierzek, Andrzej M., editor

Published
2013
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25. Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform

Author

Asai, Yoshiyuki, Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Villa, Alessandro E. P., editor, Duch, Włodzisław, editor, Érdi, Péter, editor, Masulli, Francesco, editor, and Palm, Günther, editor

Published
2012
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26. Distributed Deterministic Temporal Information Propagated by Feedforward Neural Networks

Author

Asai, Yoshiyuki, Villa, Alessandro E. P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Honkela, Timo, editor, Duch, Włodzisław, editor, Girolami, Mark, editor, and Kaski, Samuel, editor

Published
2011
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29. Robustness of a U-net model for different image processing types in segmentation of the mammary gland region

Author

Yamamuro, Mika, primary, Asai, Yoshiyuki, additional, Hashimoto, Naomi, additional, Yasuda, Nao, additional, Kimura, Hiroto, additional, Yamada, Takahiro, additional, Nemoto, Mitsutaka, additional, Kimura, Yuichi, additional, Handa, Hisashi, additional, Yoshida, Hisashi, additional, Abe, Koji, additional, Tada, Masahiro, additional, Habe, Hitoshi, additional, Nagaoka, Takashi, additional, Nin, Seiun, additional, Ishii, Kazunari, additional, and Lee, Yongbum, additional

Published
2022
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30. Transmission of Distributed Deterministic Temporal Information through a Diverging/Converging Three-Layers Neural Network

Author

Asai, Yoshiyuki, Villa, Alessandro E. P., Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Diamantaras, Konstantinos, editor, Duch, Wlodek, editor, and Iliadis, Lazaros S., editor

Published
2010
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32. Effect of the Background Activity on the Reconstruction of Spike Train by Spike Pattern Detection

Author

Asai, Yoshiyuki, Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kůrková, Véra, editor, Neruda, Roman, editor, and Koutník, Jan, editor

Published
2008
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33. Deterministic Nonlinear Spike Train Filtered by Spiking Neuron Model

Author

Asai, Yoshiyuki, Yokoi, Takashi, Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, de Sá, Joaquim Marques, editor, Alexandre, Luís A., editor, Duch, Włodzisław, editor, and Mandic, Danilo, editor

Published
2007
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34. Detection of a Dynamical System Attractor from Spike Train Analysis

Author

Asai, Yoshiyuki, Yokoi, Takashi, Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kollias, Stefanos D., editor, Stafylopatis, Andreas, editor, Duch, Włodzisław, editor, and Oja, Erkki, editor

Published
2006
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35. Unsupervised Recognition of Neuronal Discharge Waveforms for On-line Real-Time Operation

Author

Asai, Yoshiyuki, Aksenova, Tetyana I., Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, De Gregorio, Massimo, editor, Di Maio, Vito, editor, Frucci, Maria, editor, and Musio, Carlo, editor

Published
2005
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36. On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning

Author

Asai, Yoshiyuki, Aksenova, Tetyana I., Villa, Alessandro E. P., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Duch, Włodzisław, editor, Kacprzyk, Janusz, editor, Oja, Erkki, editor, and Zadrożny, Sławomir, editor

Published
2005
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37. Utility of U-Net for the objective segmentation of the fibroglandular tissue region on clinical digital mammograms

Author

Yamamuro, Mika, primary, Asai, Yoshiyuki, additional, Hashimoto, Naomi, additional, Yasuda, Nao, additional, Kimura, Hiroto, additional, Yamada, Takahiro, additional, Nemoto, Mitsutaka, additional, Kimura, Yuichi, additional, Handa, Hisashi, additional, Yoshida, Hisashi, additional, Abe, Koji, additional, Tada, Masahiro, additional, Habe, Hitoshi, additional, Nagaoka, Takashi, additional, Nin, Seiun, additional, Ishii, Kazunari, additional, and Kondo, Yohan, additional

Published
2022
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41. Early manifestations and differential gene expression associated with photoreceptor degeneration in Prom1-deficient retina

Author

Kobayashi, Yuka, primary, Watanabe, Shizuka, additional, Ong, Agnes Lee Chen, additional, Shirai, Manabu, additional, Yamashiro, Chiemi, additional, Ogata, Tadahiko, additional, Higashijima, Fumiaki, additional, Yoshimoto, Takuya, additional, Hayano, Takahide, additional, Asai, Yoshiyuki, additional, Sasai, Noriaki, additional, and Kimura, Kazuhiro, additional

Published
2021
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42. Development and validation of the surmising model for volumetric breast density using X-ray exposure conditions in digital mammography.

Author

Yamamuro, Mika, Asai, Yoshiyuki, Yamada, Takahiro, Kimura, Yuichi, Ishii, Kazunari, and Kondo, Yohan

Abstract

The use of breast density as a biomarker for breast cancer treatment has not been well established owing to the difficulty in measuring time-series changes in breast density. In this study, we developed a surmising model for breast density using prior mammograms through a multiple regression analysis, enabling a time series analysis of breast density. We acquired 1320 mediolateral oblique view mammograms to construct the surmising model using multiple regression analysis. The dependent variable was the breast density of the mammary gland region segmented by certified radiological technologists, and independent variables included the compressed breast thickness (CBT), exposure current times exposure second (mAs), tube voltage (kV), and patients’ age. The coefficient of determination of the surmising model was 0.868. After applying the model, the correlation coefficients of the three groups based on the CBT (thin group, 18–36 mm; standard group, 38–46 mm; and thick group, 48–78 mm) were 0.913, 0.945, and 0.867, respectively, suggesting that the thick breast group had a significantly low correlation coefficient (p = 0.00231). In conclusion, breast density can be accurately surmised using the CBT, mAs, tube voltage, and patients’ age, even in the absence of a mammogram image.Graphical Abstract: The use of breast density as a biomarker for breast cancer treatment has not been well established owing to the difficulty in measuring time-series changes in breast density. In this study, we developed a surmising model for breast density using prior mammograms through a multiple regression analysis, enabling a time series analysis of breast density. We acquired 1320 mediolateral oblique view mammograms to construct the surmising model using multiple regression analysis. The dependent variable was the breast density of the mammary gland region segmented by certified radiological technologists, and independent variables included the compressed breast thickness (CBT), exposure current times exposure second (mAs), tube voltage (kV), and patients’ age. The coefficient of determination of the surmising model was 0.868. After applying the model, the correlation coefficients of the three groups based on the CBT (thin group, 18–36 mm; standard group, 38–46 mm; and thick group, 48–78 mm) were 0.913, 0.945, and 0.867, respectively, suggesting that the thick breast group had a significantly low correlation coefficient (p = 0.00231). In conclusion, breast density can be accurately surmised using the CBT, mAs, tube voltage, and patients’ age, even in the absence of a mammogram image. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Light-dependent induction of Edn2 expression and attenuation of retinal pathology by endothelin receptor antagonists in Prominin-1- deficient mice

Author

Kobayashi Yuka, Higashijima Fumiaki, Sasai Noriaki, Watanabe Shizuka, Shirai Manabu, Kimura Kazuhiro, Ogata Tadahiko, Hayano Takahide, Yoshimoto Takuya, Asai Yoshiyuki, and Yamashiro Chiemi

Subjects
Retinal degeneration, Pathology, medicine.medical_specialty, Retina, business.industry, Retinal, medicine.disease, Photoreceptor cell, chemistry.chemical_compound, medicine.anatomical_structure, chemistry, Gliosis, Retinitis pigmentosa, medicine, medicine.symptom, Endothelin receptor, business, Cell activation
Abstract

Retinitis pigmentosa (RP) and macular dystrophy (MD) are prevalent retinal degenerative diseases associated with gradual photoreceptor death. These diseases are often caused by genetic mutations that result in degeneration of the retina postnatally after it has fully developed. The Prominin-1 gene (Prom1) is a causative gene for RP and MD, and Prom1- knockout (KO) mice recapitulate key features of these diseases including light-dependent retinal degeneration and stenosis of retinal blood vessels. The mechanisms underlying progression of such degeneration have remained unknown, however. We here analysed early events associated with retinal degeneration in Prom1-KO mice. We found that photoreceptor cell death and glial cell activation occur between 2 and 3 weeks after birth. High-throughput analysis revealed that expression of the endothelin-2 gene (Edn2) was markedly up-regulated in the Prom1-deficient retina during this period. Expression of Edn2 was also induced by light stimulation in Prom1-KO mice that had been reared in the dark. Finally, treatment with endothelin receptor antagonists attenuated photoreceptor cell death, gliosis, and retinal vessel stenosis in Prom1-KO mice. Our findings suggest that inhibitors of endothelin signalling may delay the progression of RP and MD and therefore warrant further study as potential therapeutic agents for these diseases.

Published
2020

50. How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography

Author

Yamamuro, Mika, primary, Asai, Yoshiyuki, additional, Hashimoto, Naomi, additional, Yasuda, Nao, additional, Yamada, Takahiro, additional, Nemoto, Mitsutaka, additional, Kimura, Yuichi, additional, Handa, Hisashi, additional, Yoshida, Hisashi, additional, Abe, Koji, additional, Tada, Masahiro, additional, Habe, Hitoshi, additional, Nagaoka, Takashi, additional, Ozaki, Yoshiaki, additional, Nin, Seiun, additional, Ishii, Kazunari, additional, and Lee, Yongbum, additional

Published
2021
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