Personalized chemotherapy selection for patients with triple-negative breast cancer using deep learning
Xinyi Yang,
Reshetov Iogr Vladmirovich,
Poltavskaya Maria Georgievna
et al.
Abstract:BackgroundPotential uncertainties and overtreatment exist in adjuvant chemotherapy for triple-negative breast cancer (TNBC) patients.ObjectivesThis study aims to explore the performance of deep learning (DL) models in personalized chemotherapy selection and quantify the impact of baseline characteristics on treatment efficacy.MethodsPatients who received treatment recommended by models were compared to those who did not. Overall survival for treatment according to model recommendations was the primary outcome.… Show more
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