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Articles by Hee Cheol
AI-driven, qualitative GC–MS/MS-based endogenous steroid profiling with automated classification for sex cohort determination
Abstract The proper identification of sex cohorts is essential for anti-doping within the regulatory framework for horse racing, as investigations could be compromised if the sex of a stallion, mare or gelding were misclassified. The single-threshold approach is not very useful for assessing hormonal profiles in horses because of nonlinear relationships among testosterone and other hormones and metabolites.
[2401.00773] Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures
[Submitted on 1 Jan 2024 ( v1 ), last revised 25 Jul 2024 (this version, v3)] Title:Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures View a PDF of the paper titled Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures, by Dongwook Kim and 3 other authors View PDF HTML (experimental) Abstract:Probabilistic mixture models are recognized as effective tools for unsupervised outlier...
Investigating the Impact of Industry 4.0 Technology through a TOE-Based Innovation Model
1. Introduction Nowadays, the ways people live, work, and connect with one another are being profoundly changed by a technological revolution. In recent decades, the Fourth Industrial Revolution (also known as Industry 4.0) has emerged across industries and countries. Industry 4.0 was originally derived from the high-tech strategy of the German government, which advocated automation, data exchange, and digitization of manufacturing [1].
Correction: Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients (pdf) | Paperity
Journal of Translational Medicine, May 2023 This is a preview of a remote PDF: https://translational-medicine.biomedcentral.com/counter/pdf/10.1186/s12967-023-04124-4 Kim, Jinho, Kim, Hyunjung, Lee, Min‑Seok, Lee, Heetak, Kim, Yeon Jeong, Lee, Woo Yong, Yun, Seong Hyeon, Kim, Hee Cheol, Hong, Hye Kyung, Hannenhalli, Sridhar, Cho, Yong Beom, Park, Donghyun, Choi, Sun Shim. , Journal of Translational Medicine, 2023, pp. 1-1, Volume 21, Issue 1, DOI: 10.1186/s12967-023-04124-4
Effectiveness of personalized treatment stage-adjusted digital therapeutics in colorectal cancer: a randomized controlled trial - BMC Cancer
Study design This protocol will be a prospective multi-centered two-armed randomized controlled trial. The study design meets SPIRIT guidelines [9]. The SPIRIT Checklist are attached as Additional file 1. Colorectal cancer patients will be recruited from three university hospitals in South Korea (Samsung Medical Center, Korea University Anam Hospital, and Seoul St. Mary’s Hospital). The enrolled participants will be randomly allocated to either the digital therapeutic or control group.
Regeneration of infarcted mouse hearts by cardiovascular tissue formed via the direct reprogramming of mouse fibroblasts - Nature Biomedical Engineering
Abstract Fibroblasts can be directly reprogrammed into cardiomyocytes, endothelial cells or smooth muscle cells. Here we report the reprogramming of mouse tail-tip fibroblasts simultaneously into cells resembling these three cell types using the microRNA mimic miR-208b-3p, ascorbic acid and bone morphogenetic protein 4, as well as the formation of tissue-like structures formed by the directly reprogrammed cells.
Effectiveness of personalized treatment stage-adjusted digital therapeutics in colorectal cancer: a randomized controlled trial
BMC Cancer, Apr 2023 This is a preview of a remote PDF: https://bmccancer.biomedcentral.com/counter/pdf/10.1186/s12885-023-10728-2 Kim, Inah, Lim, Ji Young, Kim, Sun Woo, Shin, Dong Wook, Kim, Hee Cheol, Park, Yoon Ah, Lee, Yoon Suk, Kwak, Jung-Myun, Kang, Seok Ho, Lee, Ji Youl, Hwang, Ji Hye. , BMC Cancer, 2023, pp. 1-9, Volume 23, Issue 1, DOI: 10.1186/s12885-023-10728-2
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