Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework.
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| Title: | Validation of new AI-based classification method for in silico cardiac safety assessment of drugs following the CiPA framework. |
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| Authors: | Hanum UL; Department of IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea., Qauli AI; Department of Engineering, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya, 60115, Jawa Timur, Indonesia.; Department of IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea., Fuadah YN; School of Electrical Engineering, Telkom University, Bandung, Indonesia.; Department of IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea., Izza RN; Department of IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea., Lim KM; Department of Medical IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea. kmlim@kumoh.ac.kr.; Meta Heart Co., Ltd., Gumi, 39177, Republic of Korea. kmlim@kumoh.ac.kr.; Department of IT Convergence Engineering, Computational Medicine Lab, Kumoh National Institute of Technology, Gumi, 39177, Republic of Korea. kmlim@kumoh.ac.kr. |
| Source: | Archives of toxicology [Arch Toxicol] 2025 Sep; Vol. 99 (9), pp. 3735-3749. Date of Electronic Publication: 2025 May 22. |
| Publication Type: | Journal Article; Validation Study |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0417615 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-0738 (Electronic) Linking ISSN: 03405761 NLM ISO Abbreviation: Arch Toxicol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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