Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells.

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Bibliographic Details
Title: Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells.
Authors: Huang TP; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan., Huang HH; Department of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Li BT; Graduate Institute of Linguistics, National Cheng Chi University, Taipei, Taiwan., Shen PH; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan., Thomas G; Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan., Han JY; Graduate Institute of Technology, Innovation and Intellectual Property Management, National Cheng Chi University, Taipei, Taiwan., Chu CM; School of Public Health, National Defense Medical University, Taipei, Taiwan.; Department of Public Health, China Medical University, Taichung, Taiwan.; Graduate Institute of Life Sciences, National Defense Medical University, Taipei, Taiwan.; Graduate Institute of Medical Sciences, National Defense Medical University, Taipei, Taiwan.; Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.; Department of Healthcare Administration and Medical Informatics, College of Health Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan., Lin KY; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.
Source: International journal of medical sciences [Int J Med Sci] 2026 Mar 30; Vol. 23 (5), pp. 1808-1821. Date of Electronic Publication: 2026 Mar 30 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Ivyspring International Publisher Country of Publication: Australia NLM ID: 101213954 Publication Model: eCollection Cited Medium: Internet ISSN: 1449-1907 (Electronic) Linking ISSN: 14491907 NLM ISO Abbreviation: Int J Med Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1449-1907
DOI:10.7150/ijms.127764