Explainable machine learning identifies features and thresholds predictive of immunotherapy response.
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| Title: | Explainable machine learning identifies features and thresholds predictive of immunotherapy response. |
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| Authors: | Tran KA; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia. khoa.tran@qimrb.edu.au.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. khoa.tran@qimrb.edu.au., Addala V; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Koufariotis LT; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Zhang J; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Wood S; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Leonard C; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Hoeijmakers LL; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands., Blank CU; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands., Crispin-Ortuzar M; Department of Oncology, University of Cambridge, Cambridge, UK.; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK., Williams ED; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.; Australian Prostate Cancer Research Centre - Queensland (APCRC-Q) and Queensland Bladder Cancer Initiative (QBCI), Brisbane, Australia.; Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia., Kondrashova O; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia., Pearson JV; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia., Waddell N; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia. nic.waddell@qimrberghofer.edu.au.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. nic.waddell@qimrberghofer.edu.au. |
| Source: | Scientific reports [Sci Rep] 2026 May 23. Date of Electronic Publication: 2026 May 23. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42177174 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Explainable machine learning identifies features and thresholds predictive of immunotherapy response. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Tran+KA%22">Tran KA</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia. khoa.tran@qimrb.edu.au.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. khoa.tran@qimrb.edu.au.<br /><searchLink fieldCode="AU" term="%22Addala+V%22">Addala V</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Koufariotis+LT%22">Koufariotis LT</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Zhang+J%22">Zhang J</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Wood+S%22">Wood S</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Leonard+C%22">Leonard C</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Hoeijmakers+LL%22">Hoeijmakers LL</searchLink>; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Blank+CU%22">Blank CU</searchLink>; Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.; Department of Medical Oncology, Leiden University Medical Center, Leiden, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Crispin-Ortuzar+M%22">Crispin-Ortuzar M</searchLink>; Department of Oncology, University of Cambridge, Cambridge, UK.; Cancer Research UK Cambridge Centre, University of Cambridge, Cambridge, UK.<br /><searchLink fieldCode="AU" term="%22Williams+ED%22">Williams ED</searchLink>; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.; Australian Prostate Cancer Research Centre - Queensland (APCRC-Q) and Queensland Bladder Cancer Initiative (QBCI), Brisbane, Australia.; Centre for Genomics and Personalised Health, Queensland University of Technology (QUT), Brisbane, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Kondrashova+O%22">Kondrashova O</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Pearson+JV%22">Pearson JV</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia.<br /><searchLink fieldCode="AU" term="%22Waddell+N%22">Waddell N</searchLink>; Cancer Program, QIMR Berghofer Medical Research Institute, 300 Herston Road, Brisbane, Australia. nic.waddell@qimrberghofer.edu.au.; School of Biomedical Sciences, Queensland University of Technology (QUT), Brisbane, Australia. nic.waddell@qimrberghofer.edu.au. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2026 May 23. <i>Date of Electronic Publication: </i>2026 May 23. – 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="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42177174 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s41598-026-47752-8 Languages: – Code: eng Text: English Titles: – TitleFull: Explainable machine learning identifies features and thresholds predictive of immunotherapy response. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tran KA – PersonEntity: Name: NameFull: Addala V – PersonEntity: Name: NameFull: Koufariotis LT – PersonEntity: Name: NameFull: Zhang J – PersonEntity: Name: NameFull: Wood S – PersonEntity: Name: NameFull: Leonard C – PersonEntity: Name: NameFull: Hoeijmakers LL – PersonEntity: Name: NameFull: Blank CU – PersonEntity: Name: NameFull: Crispin-Ortuzar M – PersonEntity: Name: NameFull: Williams ED – PersonEntity: Name: NameFull: Kondrashova O – PersonEntity: Name: NameFull: Pearson JV – PersonEntity: Name: NameFull: Waddell N IsPartOfRelationships: – BibEntity: Dates: – D: 23 M: 05 Text: 2026 May 23 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2045-2322 Titles: – TitleFull: Scientific reports Type: main |
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