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Observations of Microlensed Images with Dual-field Interferometry: On-sky Demonstration and Prospects
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Sofosbuvir-Based Therapies for Patients with Hepatitis C Virus Infection: Real-World Experience in China
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Casual associations between frailty and nine mental disorders: bidirectional Mendelian randomisation study
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Genetic Analysis and Follow-Up of 25 Neonatal Diabetes Mellitus Patients in China
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Non-Luminal Disease Score for Everolimus in Patients with Hormone Receptor‑positive and Human Epidermal Growth Factor Receptor 2-Negative Advanced Breast Cancer: A Mult...
Published 2025-01-01“…Yujing Tan,1,* Hanfang Jiang,2,* Xinzhu Tian,1,* Fei Ma,1 Jiayu Wang,1 Pin Zhang,1 Binghe Xu,1 Ying Fan,1 Weihong Zhao3 1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100021, People’s Republic of China; 2Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Breast Oncology, Peking University Cancer Hospital & Institute, Beijing, 100142, People’s Republic of China; 3Department of Medical Oncology, Chinese PLA General Hospital, Beijing, 100853, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ying Fan; Weihong Zhao, Email fanying@cicams.ac.cn; zhaowh0818@163.comPurpose: This study aims to explore the role of the non-luminal disease score (NOLUS) for everolimus in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (ABC).Methods: NOLUS has previously been established as an algorithm: NOLUS (0– 100) = − 0.45 × ER(%) − 0.28 × PR(%) + 0.27 × Ki67(%) + 73. …”
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Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients
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Sparse Matrix for ECG Identification with Two-Lead Features
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Lysophosphatidic acid 2 alleviates deep vein thrombosis via protective endothelial barrier function
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Overview of oral soft tissue esthetic assessment methods based on smile esthetics
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