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Titlebook: One-Step Generation of a Drug-Releasing Microarray for High-Throughput Small-Volume Bioassays; Seo Woo Song Book 2019 Springer Nature Sing

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发表于 2025-3-21 17:51:30 | 显示全部楼层 |阅读模式
书目名称One-Step Generation of a Drug-Releasing Microarray for High-Throughput Small-Volume Bioassays
编辑Seo Woo Song
视频video
概述Recognized as an outstanding Thesis by the Department of Electrical and Computer Engineering, Seoul National University.A comprehensive review of lab-on-a-chip based drug screening platforms.Describes
丛书名称Springer Theses
图书封面Titlebook: One-Step Generation of a Drug-Releasing Microarray for High-Throughput Small-Volume Bioassays;  Seo Woo Song Book 2019 Springer Nature Sing
描述This thesis demonstrates a technology that enables pipetting-free high-throughput screening (HTS) on a miniaturized platform, eliminating the need for thousands of one-by-one pipetting and conventional liquid handling systems. This platform enhances accessibility to HTS and enables HTS to be used in small-to-medium scale laboratories. In addition, it allows large-scale combinatorial screening with a small number of valuable cells, such as patients’ primary cancer cells. This technique will have a high impact for widespread use of HTS in the era of personalized medicine.. .In this thesis, the author firstly describes the need and concept of ‘partipetting’ for pipetting-free HTS platform. It is realized by the one-step pipetting and self-assembly of encoded drug-laden microparticles (DLPs) on the microwells. Next, the technical implementations required for the platform demonstration are described. It includes preparation of encoded DLPs, plastic chip fabrication, andrealization of automated system. Lastly, screening of sequential drug combinations using this platform is demonstrated. This shows the potential of the proposed technology for various applications...
出版日期Book 2019
关键词Microarray; High-throughput screening; Microarray-On-A-Chip; Drug releasing; Microparticles; Encoded drug
版次1
doihttps://doi.org/10.1007/978-981-13-8094-5
isbn_softcover978-981-13-8096-9
isbn_ebook978-981-13-8094-5Series ISSN 2190-5053 Series E-ISSN 2190-5061
issn_series 2190-5053
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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Conclusion and Discussion,enough to apply to practical HTS experiments. I developed and introduced various technologies to each part of the platform to improve the reliability and usability, and achieved the level to utilize it for practical HTS applications without highly skilled staff.
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Introduction,oparticles (DLPs) will be presented. This technology eliminates the need for an automated liquid handling system for HTS, which has been one of the major bottle-neck for the wide-use of HTS in various research applications.
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a classifier that tries to classify the original samples and the adversarial examples consistently. We evaluate our model on several datasets, and the experimental results show that our model outperforms the state-of-the-art methods for semi-supervised learning. The experiments also demonstrate tha
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Seo Woo Songttention network which is stacked on the memory layer. Finally, the mixture of long-term and short-term preference is feeded into the prediction layer to make recommendations. Extensive experiments on four real datasets show that MEANS outperforms various state-of-the-art sequential recommendation m
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Seo Woo Song not trivial to construct a good predictive model for some majors with limited student samples. To address the above issues, we develop a novel end-to-end deep learning method and propose Dual Path Convolutional Neural Network (DPCNN) for student performance prediction. Moreover, we introduce multi-
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Seo Woo Songare defined in relation to the collective rather than individual self-interest. Then I move on to the extensions of the blog that cover the Humans of Iran and Pakistan, interviewing the inhabitants of countries that often function as a non-Western Orientalized other in mainstream American discourse.
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