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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| Title: | 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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| 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 |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42080067 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Huang+TP%22">Huang TP</searchLink>; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Huang+HH%22">Huang HH</searchLink>; Department of Biotechnology and Laboratory Science in Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Li+BT%22">Li BT</searchLink>; Graduate Institute of Linguistics, National Cheng Chi University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Shen+PH%22">Shen PH</searchLink>; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Thomas+G%22">Thomas G</searchLink>; Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Han+JY%22">Han JY</searchLink>; Graduate Institute of Technology, Innovation and Intellectual Property Management, National Cheng Chi University, Taipei, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chu+CM%22">Chu CM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Lin+KY%22">Lin KY</searchLink>; Department of Orthopedic Surgery, Tri-Service General Hospital, National Defense Medical University, Taipei, Taiwan. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101213954%22">International journal of medical sciences</searchLink> [Int J Med Sci] 2026 Mar 30; Vol. 23 (5), pp. 1808-1821. <i>Date of Electronic Publication: </i>2026 Mar 30 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Ivyspring+International+Publisher%22">Ivyspring International Publisher </searchLink><i>Country of Publication: </i>Australia <i>NLM ID: </i>101213954 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1449-1907 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214491907%22">14491907 </searchLink><i>NLM ISO Abbreviation: </i>Int J Med Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42080067 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.7150/ijms.127764 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1808 Titles: – TitleFull: Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Huang TP – PersonEntity: Name: NameFull: Huang HH – PersonEntity: Name: NameFull: Li BT – PersonEntity: Name: NameFull: Shen PH – PersonEntity: Name: NameFull: Thomas G – PersonEntity: Name: NameFull: Han JY – PersonEntity: Name: NameFull: Chu CM – PersonEntity: Name: NameFull: Lin KY IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 03 Text: 2026 Mar 30 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1449-1907 Numbering: – Type: volume Value: 23 – Type: issue Value: 5 Titles: – TitleFull: International journal of medical sciences Type: main |
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