Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer

Rebecca N. Palmer, Sam Abujudeh, Magdalena Stolarek-Januszkiewicz, Ana-Luisa Silva, Justyna M. Mordaka, Kristine von Bargen, Alejandra Collazos, Simonetta Andreazza, Nicola D. Potts, Chau Ha Ho, Iyelola Turner, Jinsy Jose, Dilyara Nugent, Prarthna Barot, Christina Xyrafaki, Alessandro Tomassini, Ryan T. Evans, Katherine E. Knudsen, Elizabeth Gillon-Zhang, Julia N. Brown, Candace King, Cory Kiser, Mary Beth Rossi, Eleanor R. Gray, Robert J. Osborne, Barnaby W. Balmforth

Open source

DOI: 10.1200/cci-25-00050
Published: 2025-08
Container: JCO Clinical Cancer Informatics
Publisher: American Society of Clinical Oncology (ASCO)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1200/cci-25-00050,
  title = {Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer},
  author = {Rebecca N. Palmer and Sam Abujudeh and Magdalena Stolarek-Januszkiewicz and Ana-Luisa Silva and Justyna M. Mordaka and Kristine von Bargen and Alejandra Collazos and Simonetta Andreazza and Nicola D. Potts and Chau Ha Ho and Iyelola Turner and Jinsy Jose and Dilyara Nugent and Prarthna Barot and Christina Xyrafaki and Alessandro Tomassini and Ryan T. Evans and Katherine E. Knudsen and Elizabeth Gillon-Zhang and Julia N. Brown and Candace King and Cory Kiser and Mary Beth Rossi and Eleanor R. Gray and Robert J. Osborne and Barnaby W. Balmforth},
  year = {2025},
  journal = {JCO Clinical Cancer Informatics},
  doi = {10.1200/cci-25-00050},
  url = {https://doi.org/10.1200/cci-25-00050}
}

RIS

TY  - JOUR
TI  - Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer
AU  - Rebecca N. Palmer
AU  - Sam Abujudeh
AU  - Magdalena Stolarek-Januszkiewicz
AU  - Ana-Luisa Silva
AU  - Justyna M. Mordaka
AU  - Kristine von Bargen
AU  - Alejandra Collazos
AU  - Simonetta Andreazza
AU  - Nicola D. Potts
AU  - Chau Ha Ho
AU  - Iyelola Turner
AU  - Jinsy Jose
AU  - Dilyara Nugent
AU  - Prarthna Barot
AU  - Christina Xyrafaki
AU  - Alessandro Tomassini
AU  - Ryan T. Evans
AU  - Katherine E. Knudsen
AU  - Elizabeth Gillon-Zhang
AU  - Julia N. Brown
AU  - Candace King
AU  - Cory Kiser
AU  - Mary Beth Rossi
AU  - Eleanor R. Gray
AU  - Robert J. Osborne
AU  - Barnaby W. Balmforth
PY  - 2025
JO  - JCO Clinical Cancer Informatics
DO  - 10.1200/cci-25-00050
UR  - https://doi.org/10.1200/cci-25-00050
ER  -

APA

Palmer, R. N., Abujudeh, S., Stolarek-Januszkiewicz, M., Silva, A., Mordaka, J. M., Bargen, K. V., Collazos, A., Andreazza, S., Potts, N. D., Ho, C. H., Turner, I., Jose, J., Nugent, D., Barot, P., Xyrafaki, C., Tomassini, A., Evans, R. T., Knudsen, K. E., Gillon-Zhang, E., Brown, J. N., King, C., Kiser, C., Rossi, M. B., Gray, E. R., Osborne, R. J., & Balmforth, B. W. (2025). Development of a Machine Learning Model for Aspyre Lung Blood: A New Assay for Rapid Detection of Actionable Variants From Plasma in Patients With Non–Small Cell Lung Cancer. JCO Clinical Cancer Informatics. https://doi.org/10.1200/cci-25-00050

Source records

crossref · retrieved 2026-09-27T02:15:41.271Z