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A Pan-Cancer, Pan-Treatment (PCPT) Model For Predicting Drug Responses From Patient-Derived Xenografts With Application To Cancer Types With Sparse Training Data

2025-03-10

Abstract excerpt

Predicting personalized treatment-specific responses in cancer patients requires not only robust experimental models such as PDX, which generate accurate training data on different treatment responses for the same model, but also computational models that can translate this knowledge into decisions for real patients in a timely manner. The translatability of PDX data into patient-specific outcomes is limited by th...

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Literature Corpus work
ca4bf4e3-1dc7-5ae5-9f6c-91e3e5df41f3
DOI
10.1101/2025.03.04.641355
Open publication

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A Pan-Cancer, Pan-Treatment (PCPT) Model For Predicting Drug Responses From Patient-Derived Xenografts With Application To Cancer Types With Sparse Training DataDOI 10.1101/2025.03.04.641355
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