Hongqian Ke,Ning Xie,Qian Wu et al.
Hongqian Ke et al.
Aims: The purpose of this study was to evaluate the association between exposure to urinary heavy metals and cancer risk in adults in the United States. M...
Incidence of thyroid adverse events following immune checkpoint inhibitor treatment in patients with baseline positive thyroid antibodies: a systematic review and meta-analysis [0.03%]
基线甲状腺抗体阳性患者接受免疫检查点抑制剂治疗后出现甲状腺不良事件的发病风险：系统评价和 meta 分析
Hui Yu,Qichao Chen,Wenbing Hu et al.
Hui Yu et al.
Background: To systematically evaluate the incidence of thyroid adverse events in patients with baseline positive thyroid antibodies following treatment with immune checkpoint inhibitors (ICIs). ...
The protease-activated receptors are expressed in glioblastoma and differentially modulate adherent versus stem-like growth of LN-18 GBM cells [0.03%]
蛋白酶激活受体在胶质母细胞瘤中的表达及其对LN-18胶质母细胞瘤细胞贴壁生长与干细胞样生长的差异化调节作用
Sandra Bien-Möller,Antonia Grober,Judith Albrecht et al.
Sandra Bien-Möller et al.
Background: Glioblastoma (GBM) remains the most aggressive and common malignant brain tumor in adults, often accompanied by venous thromboembolism due to hypercoagulability. Protease-activated receptors (PAR1-4) are thoug...
Personalized diagnosis of radiation pneumonitis in breast cancer patients based on radiomics [0.03%]
基于影像组学的乳腺癌放射性肺炎个性化诊断模型
Xiaobo Wen,Yutao Zhao,Wen Dong et al.
Xiaobo Wen et al.
Objective: This study aimed to identify CT-based radiomic alterations associated with radiation pneumonitis (RP) and to evaluate the feasibility of machine learning classifiers for personalized RP diagnosis in breast canc...
Construction and validation of immune prognosis model for lung adenocarcinoma based on machine learning [0.03%]
基于机器学习的肺癌免疫预后模型的构建及验证
Jinyu Zheng,Xiaoyi Xu,Xianguo Chen et al.
Jinyu Zheng et al.
Introduction: Lung adenocarcinoma is a leading subtype of lung cancer with high rates of recurrence and metastasis. Identifying novel prognostic biomarkers is essential for improving patient outcomes. ...
An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms [0.03%]
基于特征选择和注意机制的精神分裂症诊断的可解释的XAI深度EEG模型
Ahmad Almadhor,Stephen Ojo,Thomas I Nathaniel et al.
Ahmad Almadhor et al.
Introduction: Schizophrenia is a severe psychological disorder that significantly impacts an individual's life and is characterized by abnormalities in perception, behavior, and cognition. Conventional Schizophrenia diagn...
Comparison of clinical and pathological characteristics between early gastric cardiac cancer and early gastric non-cardiac cancer [0.03%]
早期食管胃交界部癌与早期胃非交界部癌的临床及病理特征对比分析
Bin Yu,Hong-Lei Wu,Shuai Li et al.
Bin Yu et al.
Background: Previous studies primarily focused on advanced-stage gastric cancer have identified significant differences between gastric cardiac cancer (GCC) and gastric non-cardiac cancer (GNCC) in clinical, pathological,...
Case Report: Personalized peptide-based immunization in an advanced-stage prostate cancer patient with bone metastasis [0.03%]
个例报告：前列腺癌骨转移患者的个性化肽基免疫疗法
Nils Heinrich Thoennissen,Mari Carmen Martos-Contreras,Mehdi Manoochehri et al.
Nils Heinrich Thoennissen et al.
Neoantigens, which are recognized as non-self and trigger an immune response, are novel antigens generated by tumor cells. Here, we report a de novo metastatic hormone-sensitive prostate cancer (mHSPC) case, which benefited from our persona...
Exploring the aftermath of hematopoietic cell transplantation: 18-year insights into post-transplant neoplasms [0.03%]
探索造血细胞移植后的后果：18年来的移植后肿瘤见解
Rawad Rihani,Shrouq Amer,Khalid Halahleh et al.
Rawad Rihani et al.
Introduction: Survival post-hematopoietic stem cell transplantation (HCT) is improving, with an increasing number of survivors. Subsequent neoplasms (SNs) following HCTs are of particular concern. ...
Multi-platform integration of histopathological images and omics data predicts molecular features and prognosis of hepatocellular carcinoma [0.03%]
多平台整合肝癌组织病理图像及组学数据可预测分子特征和预后
Linyan Chen,Yang Li,Zhiyuan Zhang et al.
Linyan Chen et al.
Background: Computer-aided histopathological image analysis is increasingly used for image evaluation and decision-making in cancer patients. This study extracted quantitative histopathological image features to predict m...