Taichi Kobayashi
Overview
Explore the profile of Taichi Kobayashi including associated specialties, affiliations and a list of published articles.
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Articles
12
Citations
33
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0
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Recent Articles
1.
Yamaguchi M, Yoshiyama T, Maruyama R, Ohashi M, Nishizono S, Kobayashi T, et al.
J Obstet Gynaecol Res
. 2024 Oct;
50(12):2299-2308.
PMID: 39419484
Aim: To evaluate Hyuganatsu oranges (Citrus tamurana Hort. Ex Tanaka) derived arabinogalactan for bone turnover, we performed a randomized placebo-controlled trial. Methods: Sixty-three postmenopausal women were age-stratified and randomly assigned...
2.
Pongsawat P, Jianpinitnun P, Sasaki S, Miyanishi C, Taniguchi T, Luangtongkum T, et al.
Appl Environ Microbiol
. 2024 Aug;
90(9):e0100724.
PMID: 39177327
Akahoya is a volcanic soil rich in alumina, primarily deposited in Kyushu, Japan. We have found that Akahoya adsorbs bacteria in the water surrounding cattle grazing areas, suggesting a potential...
3.
Misawa N, Yasui K, Sakai K, Kobayashi T, Nagahama H, Haraguchi T, et al.
Nanomaterials (Basel)
. 2023 Feb;
13(3).
PMID: 36770529
"Akahoya" is a volcanic soil classified as a special soil deposited in Kyushu, Japan. Many of its properties are not yet clearly understood. We found that Akahoya had the potential...
4.
Katsura K, Tanabe S, Nakano H, Sakai M, Ohta A, Kaidu M, et al.
Tomography
. 2023 Jan;
9(1):98-104.
PMID: 36648996
(1) Background: The impacts of metal artifacts (MAs) on the contouring workload for head and neck radiotherapy have not yet been clarified. Therefore, this study evaluated the relationship between the...
5.
Hayashi-Sakai S, Kobayashi T, Hayashi T, Shimomura-Kuroki J, Sakai J, Sakamoto M
Biomed Mater Eng
. 2022 Sep;
34(2):159-168.
PMID: 36120759
Background: Suprahyoid muscles behavior during the tongue lifting movement has not yet been elucidated. Objective: The purpose of this study was to investigate the potential of elastography imaging to examine...
6.
Kamimura H, Nonaka H, Mori M, Kobayashi T, Setsu T, Kamimura K, et al.
J Clin Med
. 2022 Jan;
11(2).
PMID: 35054079
Deep learning is a subset of machine learning that can be employed to accurately predict biological transitions. Eliminating hepatitis B surface antigens (HBsAgs) is the final therapeutic endpoint for chronic...
7.
Makishi S, Tanaka M, Kobayashi T, Tanaka R, Hayashi T, Ohshima H
Ann Anat
. 2021 Jun;
238:151784.
PMID: 34146668
Background: There is no available data on the occurrence rate of a converged alveolar canal, the detailed three-dimensional (3D) courses of alveolar canals/grooves (ACGs), or the contribution of each superior...
8.
Takamura M, Kobayashi T, Nikkuni Y, Katsura K, Yamazaki M, Maruyama S, et al.
Oral Radiol
. 2021 May;
38(1):114-125.
PMID: 33970389
Objectives: This study aimed to clarify the accuracy of intraoral ultrasonography (US), computed tomography (CT), and magnetic resonance imaging (MRI) in preoperative image depth of invasion (DOI) measurement of T1/T2...
9.
Hayashi-Sakai S, Kobayashi T, Sakamoto M, Hayashi T, Morise Y, Nikkuni Y, et al.
Biomed Mater Eng
. 2020 Nov;
31(6):361-371.
PMID: 33252057
Background: Lip closing functions have never been evaluated from the viewpoint of elastic properties. Objectives: The purpose of the present study was to investigate the behavior of the lower orbicularis...
10.
Katsura K, Funayama S, Ito K, Nohno K, Kaneko N, Takamura M, et al.
Oral Radiol
. 2020 Sep;
37(3):531-536.
PMID: 32893314
The clinical features of xerostomia induced by immune checkpoint inhibitors (ICI) are similar to those of Sjögren's syndrome (SS), whereas the immunohistological and serological features are known to differ from...