Machine-learning aided in situ drug sensitivity screening predicts treatment outcomes in ovarian PDX tumors

Machine-learning aided in situ drug sensitivity screening predicts treatment outcomes in ovarian PDX tumors

Long-term treatment outcomes for patients with high grade ovarian cancers have not changed despite innovations in therapies. There is no recommended assay for predicting patient response to second-line therapy, thus clinicians must make treatment decisions based on each individual patient. Patient-d...

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Bibliographic Details
Main Authors: Max J. Cotler, Khalil B. Ramadi, Xiaonan Hou, Elena Christodoulopoulos, Sebastian Ahn, Ashvin Bashyam, Huiming Ding, Melissa Larson, Ann L. Oberg, Charles Whittaker, Oliver Jonas, Scott H. Kaufmann, S. John Weroha, Michael J. Cima
Format: Article
Language:English
Published: Elsevier 2022-07-01
Series:Translational Oncology
Subjects:
Drug delivery
Ovarian cancer
Personalized medicine
Patient derived xenograft
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523322000869

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http://www.sciencedirect.com/science/article/pii/S1936523322000869

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