Readability of AI-Generated Patient Information on Glucagon-Like Peptide-1 Receptor Agonists [0.03%]
关于GLP-1受体激动剂患者信息的人工智能生成可读性研究
Tyler Williams,Ines Bilic-Curcic,Jonathan Hurley et al.
Tyler Williams et al.
Artificial intelligence (AI)-generated content on glucagon-like peptide-1 receptor agonists (GLP-1RAs) gave informationally detailed responses, but its readability remains suboptimal for many patients. Incorporating literacy-sensitive desig...
Random Survival Forest Versus Elastic-Net Regularized Cox Regression for Survival Prediction in Acute Myeloid Leukemia at Distinct Treatment Time Points: Model Performance Comparison Study [0.03%]
急性髓系白血病不同治疗时间点的生存预测：随机生存森林与弹性网正则Cox回归模型性能比较研究
Oisín Brady,Sean Johnson,Peter Giles et al.
Oisín Brady et al.
Background: Risk group stratification based on the prediction of survival of patients with acute myeloid leukemia (AML) is complex. Despite common risk group categorization guidelines, the overall prognosis remains poor. ...
Temporal Reproducibility of a Genetic Algorithm-Derived Health Risk Score: Standardized Out-of-Fold Validation Framework (2021-2023) [0.03%]
基于遗传算法的健康风险评分的时效重复性：标准化分折外验证框架（2021-2023）
Yoichiro Aoki,Hiroki Takeda,Kinichi Yokota et al.
Yoichiro Aoki et al.
Background: Genetic algorithm (GA)-based scoring has been proposed as a data-driven approach for health risk stratification . However, performance estimates may be inflated when preprocessing, optimization, and evaluation...
The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study [0.03%]
针对常染色体显性非综合征性听力损失的AudioGene转化仪表板的表型数据可视化和分析研究
Benjamin DeSollar,Nathan Schaefer,Daniel Walls et al.
Benjamin DeSollar et al.
Background: Autosomal dominant nonsyndromic hearing loss (ADNSHL) is highly heterogeneous, with more than 64 genes implicated in its etiology. This complexity limits the diagnostic power of clinical examinations and audio...
A Strategic Partnership to Advance AI Applications in Genomics and Bioinformatics for Health Innovation [0.03%]
一项战略伙伴关系推动基因组学和生物信息学的AI应用以促进医疗创新
Aik Choon Tan,Ece Dilber Gamsiz Uzun
Aik Choon Tan
JMIR Bioinformatics and Biotechnology announced a strategic partnership with the MidSouth Computational Biology and Bioinformatics Society (MCBIOS) in late 2025; this partnership establishes JMIR Bioinformatics and Biotechnology as the offi...
Prevalence and Associated Risk Factors of Bovine Fasciolosis in Bahir Dar, Ethiopia: Cross-Sectional Study [0.03%]
2018年巴赫达尔牛肝片吸虫病的患病率及危险因素横断面研究
Tesfaye Mesfin,Theobesta Solomon,Abraham Belete Temesgen
Tesfaye Mesfin
Background: Cattle are among the most important livestock resources in Ethiopia, contributing significantly to the agricultural economy and rural livelihoods. They provide meat, milk, hides, draft power for crop productio...
Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study [0.03%]
基于深度神经网络的非小细胞肺癌程序性死亡受体-1免疫疗法成功类基因组生物标志物的研究：量化研究
Rayan Mubarak,Fahim Islam Anik,Jean T Rodriguez et al.
Rayan Mubarak et al.
Background: Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer-related mortality. Programmed cell death receptor-1 (PD-1) immunotherapy has shown results in the treatment of NSCLC; however, not all ...
Systematic Mining of Bioactive Compounds for Wound Healing From Cayratia Japonica Exosome-Like Nanovesicles: A Workflow Combining LC-MS and DeepSeek Models [0.03%]
基于Cayratia japonica外泌体-like纳米囊泡的伤口愈合活性化合物的系统筛选：结合LC-MS和DeepSeek模型的工作流程
Qiang Fu,Wei Ji,Yu-Ping Fan et al.
Qiang Fu et al.
Background: Plant-derived exosome-like nanovesicles (P-ELNs) effectively deliver bioactive compounds due to their high biocompatibility and low immunogenicity. While liquid chromatography-mass spectrometry (LC-MS) profile...
Development and Validation of a Generative Artificial Intelligence-Based Pipeline for Automated Clinical Data Extraction From Electronic Health Records: Technical Implementation Study [0.03%]
基于生成式人工智能的电子健康记录临床数据自动提取管道的发展与验证：技术实施研究
Marvin N Carlisle,William A Pace,Andrew W Liu et al.
Marvin N Carlisle et al.
Background: The manual abstraction of unstructured clinical data is often necessary for granular clinical outcomes research but is time consuming and can be of variable quality. Large language models (LLMs) show promise i...
Correction: Structural and Functional Impacts of SARS-CoV-2 Spike Protein Mutations: Insights From Predictive Modeling and Analytics [0.03%]
关于SARS-CoV-2刺突蛋白突变的结构和功能影响的更正：来自预测建模和分析的见解
Edem K Netsey,Samuel M Naandam,Joseph Asante Jnr et al.
Edem K Netsey et al.