Meiying Shen
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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Exploring prognostic factors in breast cancer: development and selection of optimal machine learning models
Abstract Objective: To investigate prognostic factors for breast cancer recurrence and metastasis, and to systematically compare multiple machine learning models to develop an optimal predictive tool. Methods: We retrospectively analyzed data from 1,056 breast cancer patients diagnosed between January 2012 and June 2021 at a single center. Patients were randomly divided into a training (n=740) and a validation (n=316) set.
The mediating effect of expectations regarding aging between psychological resilience and quality of life in rural elderly - Archives of Public Health
References Office of the Leading Group of the Seventh National Population Census of the State Council. Main data of the seventh national population census 2020. China Statistical Publishing House; 2021. Gu YH, Tan XD. Healthy ageing: implications for China. China Public Health. 2019;35(08):941–5. Google Scholar Beard JR, Officer A, de Carvalho IA, et al. The World Report on Ageing and Health: a Policy Framework for healthy ageing. Lancet. 2016;387(10033):2145–54.
SMAD4 depletion contributes to endocrine resistance by integrating ER and ERBB signaling in HR + HER2− breast cancer - Cell Death & Disease
Abstract Endocrine resistance poses a significant clinical challenge for patients with hormone receptor-positive and human epithelial growth factor receptor 2-negative (HR + HER2−) breast cancer. Dysregulation of estrogen receptor (ER) and ERBB signaling pathways is implicated in resistance development; however, the integration of these pathways remains unclear. While SMAD4 is known to play diverse roles in tumorigenesis, its involvement in endocrine resistance is poorly understood.
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