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 |
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