Kazuhiro Takemoto
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Explore the profile of Kazuhiro Takemoto including associated specialties, affiliations and a list of published articles.
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Articles
48
Citations
483
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Recent Articles
1.
Kume K, Iida M, Iwaya T, Yashima-Abo A, Koizumi Y, Endo A, et al.
Mol Cell Proteomics
. 2024 Oct;
23(12):100870.
PMID: 39461475
Despite of massive emergence of molecular targeting drugs, the mainstay of advanced gastric cancer (GC) therapy is DNA-damaging drugs. Using a reverse-phase protein array-based proteogenomic analysis of a panel of...
2.
Takemoto K
R Soc Open Sci
. 2024 Feb;
11(2):231393.
PMID: 38328569
As large language models (LLMs) have become more deeply integrated into various sectors, understanding how they make moral judgements has become crucial, particularly in the realm of autonomous driving. This...
3.
Fujimoto S, Takemoto K
Front Artif Intell
. 2023 Nov;
6:1232003.
PMID: 37928447
Although ChatGPT promises wide-ranging applications, there is a concern that it is politically biased; in particular, that it has a left-libertarian orientation. Nevertheless, following recent trends in attempts to reduce...
4.
Chiyomaru K, Takemoto K
Phys Rev E
. 2022 Aug;
106(1-1):014301.
PMID: 35974603
This paper investigates adversarial attacks conducted to distort voter model dynamics in complex networks. Specifically, a simple adversarial attack method is proposed to hold the state of opinions of an...
5.
Hirano H, Minagi A, Takemoto K
BMC Med Imaging
. 2021 Jan;
21(1):9.
PMID: 33413181
Background: Deep neural networks (DNNs) are widely investigated in medical image classification to achieve automated support for clinical diagnosis. It is necessary to evaluate the robustness of medical DNN tasks...
6.
Hirano H, Koga K, Takemoto K
PLoS One
. 2020 Dec;
15(12):e0243963.
PMID: 33332412
Owing the epidemic of the novel coronavirus disease 2019 (COVID-19), chest X-ray computed tomography imaging is being used for effectively screening COVID-19 patients. The development of computer-aided systems based on...
7.
Ueda I, Takemoto K, Watanabe K, Sugimoto K, Ikenouchi A, Kakeda S, et al.
PeerJ
. 2020 Aug;
8:e9632.
PMID: 32844059
Background: Although structural correlation network (SCN) analysis is an approach to evaluate brain networks, the neurobiological interpretation of SCNs is still problematic. Brain-derived neurotrophic factor (BDNF) is well-established as a...
8.
Chiyomaru K, Takemoto K
R Soc Open Sci
. 2020 Apr;
7(2):191859.
PMID: 32257343
The absence of genome complexity in prokaryotes, being the evolutionary precursors to eukaryotic cells comprising all complex life (the prokaryote-eukaryote divide), is a long-standing question in evolutionary biology. A previous...
9.
Hirano H, Takemoto K
BMC Bioinformatics
. 2019 Jun;
20(1):329.
PMID: 31195956
Background: Co-occurrence networks-ecological associations between sampled populations of microbial communities inferred from taxonomic composition data obtained from high-throughput sequencing techniques-are widely used in microbial ecology. Several co-occurrence network methods have...
10.
Nagaishi E, Takemoto K
R Soc Open Sci
. 2019 Mar;
5(9):180706.
PMID: 30839716
It is theorized that a mutualistic ecosystem's resilience against perturbations (e.g. species extinction) is determined by a single macroscopic parameter (network resilience), calculable from the network. Given that such perturbations...