Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the Corpus [0.03%]
高效且准确地提取结构不良的EHR中的癌症治疗反应信息以开发RECIST自然语言处理工具：第一部分，语料库
Yalun Li,Yung-Hung Luo,Jason A Wampfler et al.
Yalun Li et al.
Purpose: Electronic health records (EHRs) are created primarily for nonresearch purposes; thus, the amounts of data are enormous, and the data are crude, heterogeneous, incomplete, and largely unstructured, presenting cha...
Predicting Cancer Cell Line Dependencies From the Protein Expression Data of Reverse-Phase Protein Arrays [0.03%]
基于逆转相蛋白阵列蛋白质表达谱预测癌细胞系依赖性
Mei-Ju May Chen,Jun Li,Gordon B Mills et al.
Mei-Ju May Chen et al.
Purpose: Predicting cancer dependencies from molecular data can help stratify patients and identify novel therapeutic targets. Recently available data on large-scale cancer cell line dependency allow a systematic assessme...
Multiresolution Application of Artificial Intelligence in Digital Pathology for Prediction of Positive Lymph Nodes From Primary Tumors in Bladder Cancer [0.03%]
基于数字病理的多分辨率人工智能应用及其在膀胱癌原发肿瘤阳性淋巴结预测中的价值评估
Stephanie A Harmon,Thomas H Sanford,G Thomas Brown et al.
Stephanie A Harmon et al.
Purpose: To develop an artificial intelligence (AI)-based model for identifying patients with lymph node (LN) metastasis based on digital evaluation of primary tumors and train the model using cystectomy specimens availab...
Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research [0.03%]
开放医学影像基金会查看器：一个用于构建基于网络的成像应用程序以支持癌症研究的可扩展开源框架
Erik Ziegler,Trinity Urban,Danny Brown et al.
Erik Ziegler et al.
Purpose: Zero-footprint Web architecture enables imaging applications to be deployed on premise or in the cloud without requiring installation of custom software on the user's computer. Benefits include decreased costs an...
Impact on Quality of Documentation and Workload of the Introduction of a National Information Standard for Tumor Board Reporting [0.03%]
肿瘤委员会报告国家级信息标准的引入对文档质量和工作量的影响
Kees C W J Ebben,Melle S Sieswerda,Ernest J T Luiten et al.
Kees C W J Ebben et al.
Purpose: Tumor boards, clinical practice guidelines, and cancer registries are intertwined cancer care quality instruments. Standardized structured reporting has been proposed as a solution to improve clinical documentati...
Sehyun Oh,Ludwig Geistlinger,Marcel Ramos et al.
Sehyun Oh et al.
Purpose: Allele-specific copy number alteration (CNA) analysis is essential to study the functional impact of single-nucleotide variants (SNVs) and the process of tumorigenesis. However, controversy over whether it can be...
Kymberleigh A Pagel,Rick Kim,Kyle Moad et al.
Kymberleigh A Pagel et al.
Purpose: The modern researcher is confronted with hundreds of published methods to interpret genetic variants. There are databases of genes and variants, phenotype-genotype relationships, algorithms that score and rank ge...
Wenjun Wu,Beibin Li,Ezgi Mercan et al.
Wenjun Wu et al.
Purpose: Machine Learning Package for Cancer Diagnosis (MLCD) is the result of a National Institutes of Health/National Cancer Institute (NIH/NCI)-sponsored project for developing a unified software package from state-of-...
SlicerDMRI: Diffusion MRI and Tractography Research Software for Brain Cancer Surgery Planning and Visualization [0.03%]
基于扩散加权磁共振成像和纤维束追踪的脑肿瘤术前计划及可视化系统软件SlicerDMRI研究
Fan Zhang,Thomas Noh,Parikshit Juvekar et al.
Fan Zhang et al.
Purpose: We present SlicerDMRI, an open-source software suite that enables research using diffusion magnetic resonance imaging (dMRI), the only modality that can map the white matter connections of the living human brain....