Protein-Protein Interactions in Papillary and Nonpapillary Urothelial Carcinoma Architectures: Comparative Study [0.03%]
乳头状和非乳头状尿路上皮瘤结构中的蛋白质-蛋白质相互作用：比较研究
Charissa Chou,Yiğit Baykara,Sean Hacking et al.
Charissa Chou et al.
Background: Bladder cancer is a disease characterized by complex perturbations in gene networks and is heterogeneous in terms of histology, mutations, and prognosis. Advances in high-throughput sequencing technologies, ge...
In Silico Analysis and Validation of A Disintegrin and Metalloprotease (ADAM) 17 Gene Missense Variants: Structural Bioinformatics Study [0.03%]
ADAM17基因错义变异的计算机分析与验证：结构生物信息学研究
Abdelilah Mechnine,Asmae Saih,Lahcen Wakrim et al.
Abdelilah Mechnine et al.
Background: The protein A disintegrin and metalloprotease (ADAM) domain containing 17, also called tumor necrosis factor alpha-converting enzyme, is mainly responsible for cleaving a specific sequence Pro-Leu-Ala-Gln-Ala-...
Genetic Diversity and Mutation Frequency Databases in Ethnic Populations: Systematic Review [0.03%]
遗传多样性及突变频率的族裔人群数据库：系统综述
Shumaila Khan,Mahmood Alam,Iqbal Qasim et al.
Shumaila Khan et al.
Background: National and ethnic mutation frequency databases (NEMDBs) play a crucial role in documenting gene variations across populations, offering invaluable insights for gene mutation research and the advancement of p...
Lung Cancer Diagnosis From Computed Tomography Images Using Deep Learning Algorithms With Random Pixel Swap Data Augmentation: Algorithm Development and Validation Study [0.03%]
基于深度学习算法和随机像素交换数据增强的肺部CT影像肺癌诊断：算法开发与验证研究
Ayomide Adeyemi Abe,Mpumelelo Nyathi
Ayomide Adeyemi Abe
Background: Deep learning (DL) shows promise for automated lung cancer diagnosis, but limited clinical data can restrict performance. While data augmentation (DA) helps, existing methods struggle with chest computed tomog...
Estimating Antigen Test Sensitivity via Target Distribution Balancing: Development and Validation Study [0.03%]
基于目标分布平衡的抗原检测敏感性估计方法的发展与验证研究
Miguel Bosch,Adriana Moreno,Raul Colmenares et al.
Miguel Bosch et al.
Background: Sensitivity-expressed as percent positive agreement (PPA) with a reference assay-is a primary metric for evaluating lateral-flow antigen tests (ATs), typically benchmarked against a quantitative reverse transc...
Stacked Deep Learning Ensemble for Multiomics Cancer Type Classification: Development and Validation Study [0.03%]
多组学癌症类型分类的 stacked deep learning ensemble 方法的研发和验证研究
Amani Ameen,Nofe Alganmi,Nada Bajnaid
Amani Ameen
Background: Cancer is one of the leading causes of disease burden globally, and early and accurate diagnosis is crucial for effective treatment. This study presents a deep learning-based model designed to classify 5 commo...
Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach [0.03%]
基于基因表达数据利用机器学习进行前列腺癌种族特异性检测的框架：特征选择优化方法
David Agustriawan,Adithama Mulia,Marlinda Vasty Overbeek et al.
David Agustriawan et al.
Background: Previous machine learning approaches for prostate cancer detection using gene expression data have shown remarkable classification accuracies. However, prior studies overlook the influence of racial diversity ...
Conversational Artificial Intelligence for Integrating Social Determinants, Genomics, and Clinical Data in Precision Medicine: Development and Implementation Study of the AI-HOPE-PM System [0.03%]
面向精准医学的AI-HOPE-PM系统对话式人工智能技术集成社会决定因素、基因组学和临床数据的研究与发展
Ei-Wen Yang,Brigette Waldrup,Enrique Velazquez-Villarreal
Ei-Wen Yang
Background: Integrating clinical, genomic, and social determinants of health (SDOH) data is essential for advancing precision medicine and addressing cancer health disparities. However, existing bioinformatics tools often...
Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity [0.03%]
利用人工智能和量子计算革命药物发现和审批流程：胶原毒性的案例分析
David Melvin Braga,Bharat Rawal
David Melvin Braga
Artificial intelligence (AI) and quantum computing will change the course of new drug discovery and approval. By generating computational data, predicting the efficacy of pharmaceuticals, and assessing their safety, AI and quantum computing...
Designing a Finite Element Model to Determine the Different Fixation Positions of Tracheal Catheters in the Oral Cavity for Minimizing the Risk of Oral Mucosal Pressure Injury: Comparison Study [0.03%]
设计有限元模型以确定口腔内气管导管的不同固定位置 以便减少口腔黏膜压伤的风险：一项比较研究
Zhiwei Wang,Zhenghui Dong,Xiaoyan He et al.
Zhiwei Wang et al.
Background: Despite being an important life-saving medical device to ensure smooth breathing in critically ill patients, the tracheal tube causes damage to the oral mucosa of patients during use, which increases not only ...