Predicting likelihood of in vivo chemotherapy response in canine lymphoma using ex vivo drug sensitivity and immunophenotyping data in a machine learning model

We report a precision medicine platform that evaluates the probability of chemotherapy drug efficacy for canine lymphoma by combining ex vivo chemosensitivity and immunophenotyping assays with computational modelling. We isolated live cancer cells from fresh fine needle aspirates of affected lymph n...

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Detalles Bibliográficos
Autores principales: Bohannan, Zach, Pudupakam, Raghavendra Sumanth, Koo, Jamin, Horwitz, Harrison, Tsang, Josephine, Polley, Amanda, Han, Enyang James, Fernandez, Elmer, Park, Stanley, Swartzfager, Deanna, Qi, Nicholas Seah Xi, Tu, Chantal, Rankin, Wendi Velando, Thamm, Douglas H., Lee, Hye‐Ryeon, Lim, Sungwon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894155/
https://www.ncbi.nlm.nih.gov/pubmed/33025640
http://dx.doi.org/10.1111/vco.12656

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894155/
https://www.ncbi.nlm.nih.gov/pubmed/33025640
http://dx.doi.org/10.1111/vco.12656

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