Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review [0.03%]
基于影像的肺癌和结直肠癌诊断进展与挑战：全面综述
Pragati Patharia,Prabira Kumar Sethy,Aziz Nanthaamornphong
Pragati Patharia
Image-based diagnosis has become a crucial tool in the identification and management of various cancers, particularly lung and colon cancer. This review delves into the latest advancements and ongoing challenges in the field, with a focus o...
Innovations in Artificial Intelligence-Driven Breast Cancer Survival Prediction: A Narrative Review [0.03%]
人工智能驱动的乳腺癌生存预测创新：叙述性综述
Mehwish Mooghal,Saad Nasir,Aiman Arif et al.
Mehwish Mooghal et al.
This narrative review explores the burgeoning field of Artificial Intelligence (AI)-driven Breast Cancer (BC) survival prediction, emphasizing the transformative impact on patient care. From machine learning to deep neural networks, diverse...
Understanding the Biological Basis of Polygenic Risk Scores and Disparities in Prostate Cancer: A Comprehensive Genomic Analysis [0.03%]
理解前列腺癌多基因风险评分和差异的生物学基础：全面基因组分析
Wensheng Zhang,Kun Zhang
Wensheng Zhang
Objectives: For prostate cancer (PCa), hundreds of risk variants have been identified. It remains unknown whether the polygenic risk score (PRS) that combines the effects of these variants is also a sufficiently informati...
Prediction of Treatment Recommendations Via Ensemble Machine Learning Algorithms for Non-Small Cell Lung Cancer Patients in Personalized Medicine [0.03%]
基于集成机器学习算法的非小细胞肺癌患者的个性化医疗治疗方案预测模型研究
Hojin Moon,Lauren Tran,Andrew Lee et al.
Hojin Moon et al.
Objectives: The primary goal of this research is to develop treatment-related genomic predictive markers for non-small cell lung cancer by integrating various machine learning algorithms that recommends near-optimal indiv...
Machine Learning for Dynamic Prognostication of Patients With Hepatocellular Carcinoma Using Time-Series Data: Survival Path Versus Dynamic-DeepHit HCC Model [0.03%]
基于时间序列数据的肝细胞癌患者动态预后机器学习：生存路径与动态深度HIT模型比较研究
Lujun Shen,Yiquan Jiang,Tao Zhang et al.
Lujun Shen et al.
Objectives: Patients with intermediate or advanced hepatocellular carcinoma (HCC) require repeated disease monitoring, prognosis assessment and treatment planning. In 2018, a novel machine learning methodology "survival p...
Multicategory Survival Outcomes Classification via Overlapping Group Screening Process Based on Multinomial Logistic Regression Model With Application to TCGA Transcriptomic Data [0.03%]
基于多元逻辑回归模型的重叠组合筛选过程在多类生存结局分类中的应用——以TCGA转录组数据为例
Jie-Huei Wang,Po-Lin Hou,Yi-Hau Chen
Jie-Huei Wang
Objectives: Under the classification of multicategory survival outcomes of cancer patients, it is crucial to identify biomarkers that affect specific outcome categories. The classification of multicategory survival outcom...
Computational Insights into Captopril's Inhibitory Potential Against MMP9 and LCN2 in Bladder Cancer: Implications for Therapeutic Application [0.03%]
计算卡托普利在膀胱癌中抑制MMP9和LCN2的潜力的见解：对治疗应用的意义
Sanjida Kabir Annana,Jannatul Ferdoush,Farzia Lamia et al.
Sanjida Kabir Annana et al.
Objectives: Captopril is a commonly used therapeutic agent in the management of renovascular hypertension (high blood pressure), congestive heart failure, left ventricular dysfunction following myocardial infarction, and ...
Immune-Related Long Non-Coding RNA Signature Determines Prognosis and Immunotherapeutic Coherence in Esophageal Cancer [0.03%]
免疫相关长链非编码RNA在食管癌预后和免疫治疗中的作用签名决定预后和免疫治疗一致性
Vivek Uttam,Harmanpreet Singh Kapoor,Manjit Kaur Rana et al.
Vivek Uttam et al.
Objectives: Aim of this study was to explore the immune-related lncRNAs having prognostic role and establishing risk score model for better prognosis and immunotherapeutic coherence for esophageal cancer (EC) patients. ...
Downregulation of LPAR1 Promotes Invasive Behavior in Papillary Thyroid Carcinoma Cells [0.03%]
LPAR1表达下调通过促进乳头状甲状腺癌细胞侵袭行为参与甲状腺癌进展的功能研究分析
Zahra Bokaii Hosseini,Fatemeh Rajabi,Reza Morovatshoar et al.
Zahra Bokaii Hosseini et al.
Background: Lysophosphatidic acid receptor 1 (LPAR1) has been identified as a biomarker in various cancer types. However, its biological function in papillary thyroid carcinoma (PTC) remains unknown. ...
Characterization of Expression-Based Gene Clusters Gives Insights into Variation in Patient Response to Cancer Therapies [0.03%]
基于表达的基因簇的特征分析可加深对患者对癌症疗法反应差异的理解
Bridget Neary,Peng Qiu
Bridget Neary
Background: Transcriptomics can reveal much about cellular activity, and cancer transcriptomics have been useful in investigating tumor cell behaviors. Patterns in transcriptome-wide gene expression can be used to investi...