Aug 24, 2021 · To address these challenges, we propose an ML-aided framework to predict the outcomes of Anti-PD-1 therapy for gynecological malignancy on a ...
Sep 7, 2021 · The study investigated a gynecological cancer post-marketing surveillance dataset with 117 patient samples collected from. Sep 2019 to Feb 2021.
Aug 24, 2021 · 为了应对这些挑战，我们提出了一个ML 辅助框架，用于在包含117 个患者样本的数据集上预测抗PD-1 治疗妇科恶性肿瘤的结果，这些样本由Camrelizumab（包含50 个 ...
Apr 25, 2024 · ... Predict Outcomes of Anti-PD-1 Therapy for Patients With Gynecological Cancer on Incomplete Post-Marketing Surveillance Dataset. ... Framework ...
To address these challenges, we propose a ML-aided framework to predict the outcomes of Anti-PD-1 therapy for gynecological malignancy on a dataset with 117 ...
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... Learning-Aided Framework to Predict Outcomes of Anti-PD-1 Therapy for Patients With Gynecological Cancer on Incomplete Post-Marketing Surveillance Dataset.
Jan 29, 2024 · ... aided framework to predict outcomes of anti-PD-1 therapy for patients with gynecological cancer on incomplete post-marketing surveillance ...
This systematic review highlights the potential of AI in identifying new biomarkers that can personalise immunotherapy. •. AI algorithms are promising in ...
Liu, A machine learning-aided framework to predict outcomes of anti-PD-1 therapy for patients with gynecological cancer on incomplete post-marketing ...