日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts

利用深度人工神经网络,通过循环细胞计数的细微变化在分诊过程中识别中风

O'Connell, Grant C; Walsh, Kyle B; Smothers, Christine G; Ruksakulpiwat, Suebsarn; Armentrout, Bethany L; Winkelman, Chris; Milling, Truman J; Warach, Steven J; Barr, Taura L

A blueprint for nursing innovation centers

护理创新中心的蓝图

Barr, Taura L; Malloch, Kathy; Ackerman, Michael H; Raderstorf, Tim; Melnyk, Bernadette Mazurek

High-Throughput Profiling of Circulating Antibody Signatures for Stroke Diagnosis Using Small Volumes of Whole Blood

利用少量全血进行循环抗体特征的高通量分析以诊断卒中

O'Connell, Grant C; Stafford, Phillip; Walsh, Kyle B; Adeoye, Opeolu; Barr, Taura L

High-throughput profiling of the circulating proteome suggests sexually dimorphic corticosteroid signaling following ischemic stroke

对循环蛋白质组的高通量分析表明,缺血性卒中后皮质类固醇信号传导存在性别二态性。

O'Connell, Grant C; Walsh, Kyle B; Burrage, Emily; Adeoye, Opeolu; Chantler, Paul D; Barr, Taura L

Nursing genetics and genomics: The International Society of Nurses in Genetics (ISONG) survey

护理遗传学和基因组学:国际护理遗传学会 (ISONG) 调查

Hickey, Kathleen T; Taylor, Jacquelyn Y; Barr, Taura L; Hauser, Nicole R; Jia, Haomiao; Riga, Teresa C; Katapodi, Maria

Circulating leucocytes perpetuate stroke-induced aortic dysfunction

循环白细胞会加剧卒中引起的主动脉功能障碍。

Asano, Shinichi; O'Connell, Grant C; Lemaster, Kent C; DeVallance, Evan R; Branyan, Kayla W; Simpkins, James W; Frisbee, Jefferson C; Barr, Taura L; Chantler, Paul D

High Interspecimen Variability in Nucleic Acid Extraction Efficiency Necessitates the Use of Spike-In Control for Accurate qPCR-based Measurement of Plasma Cell-Free DNA Levels

核酸提取效率的样本间差异较大,因此需要使用添加对照品才能准确地通过qPCR方法测量血浆中游离DNA的水平。

O'Connell, Grant C; Chantler, Paul D; Barr, Taura L

Immune biomarkers for the diagnosis of mild traumatic brain injury

用于诊断轻度创伤性脑损伤的免疫生物标志物

Petrone, Ashley B; Gionis, Valerie; Giersch, Richard; Barr, Taura L

Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke

机器学习方法可识别外周血中基因表达模式,从而准确检测缺血性中风。

O'Connell, Grant C; Petrone, Ashley B; Treadway, Madison B; Tennant, Connie S; Lucke-Wold, Noelle; Chantler, Paul D; Barr, Taura L

Gene expression profiling in stroke: relevance of blood-brain interaction

中风中的基因表达谱分析:血脑相互作用的相关性

Asano, Shinichi; Chantler, Paul D; Barr, Taura L