他们构建了一种名为 Cir-Predict 的预测模型,用于预测乳腺癌组织中 ctDNA 的可检测性。该研究成果发表在《Breast Cancer Research and Treatment》上,为乳腺癌的治疗和研究开辟了新的道路。 在研究方法上,研究人员进行了多方面的工作。首先,他们收集了 48 例原发性乳腺癌患者(I - III 期)的样本,这些患者术前...
A:My group has been interested in studying the immune system ofpatients with breast cancerfor a long time. During the past 10 years or so, we have been looking at its function. Immune cells are like soldiers in an army; they need to communica...
Interpretable Machine Learning Model Selection for Breast Cancer Diagnosis Based on K-means Clustering Background: Breast cancer affects millions of women; with the increasing growth in data collection in recent years, machine learning models are used in the... DN Ouedraogo - 《Applied Medical Inform...
Background and purpose: A nomogram to predict for the 10-year ipsilateral breast relapse (IBR) after breast-conserving therapy (BCT) for breast cancer (BC) was developed based on the 'boost-no-boost'-trial with a concordance probability estimate (CPE) of 0.68. The aim of our study was ...
"We've shown that the molecular nature of a woman's breast cancer determines how their disease could progress, not just for the first five years, but also later, even if it comes back," said Oscar Rueda, first author of the paper that published Wednesday on the scientific journal Nature....
Women who had at least one false positive mammogram were more likely to develop breast cancer, when compared to women who did not have any such events.
Genetics and other factors that can determine if a woman is at risk for a recurrence of breast cancer have been identified by investigators at Georgetown Lombardi Comprehensive Cancer Center, providing new research avenues for preventing a new tumor from
Evaluation of a breast cancer nomogram to predict ipsilateral breast relapse after breast-conserving therapy 来自 国家科技图书文献中心 喜欢 0 阅读量: 49 作者:Janssen,Hilde,Weltens,Caroline,Depuydt,Tom,Peeters,Stephanie,Kindts,Isabelle 摘要: Background and purpose: A nomogram to predict for ...
Mammographic density (MD) has been strongly associated with increased risk of breast cancer (BC). In view of this, we aimed to investigate the predictive value of MD in a large consecutive cohort of BC patients (pts) treated with neoadjuvant chemotherapy (NAC). Methods Data on NAC treated pt...
According to UCSF Department of Pathology Professor Lisa Coussens, PhD, who led the research, a clinical trial for women with advancedbreast cancerbased on this discovery should begin enrolling patients at the UCSF Helen Diller Family Comprehensive Cancer Center and two collaborating institutions later ...