A data navigation model to improve access to research data resources in clinical and translational science [0.03%]
一种改进临床与转化科学研究数据资源访问的数据导航模型
Neena Thomas,Ayse Odabas,Soledad Fernandez et al.
Neena Thomas et al.
Clinical and translational investigators increasingly rely on complex institutional and national data resources, yet barriers related to data discovery, governance, and access pathways remain common. To address fragmentation in data access,...
Preferences of research participants with experience receiving individual results for future return of results [0.03%]
具有个体结果研究经历的受试者对未来结果返还的偏好分析
Paul S Appelbaum,Sheila Marie OByrne,Zirui Zhang et al.
Paul S Appelbaum et al.
Introduction: Research participants express strong desires to receive their individual research results (IRR), consistent with key ethical principles of research. Participants' preferences, especially when based on past e...
Evaluating confidence in translational science principles to guide workforce development [0.03%]
评估翻译科学原则以指导劳动力发展的信心
Darcy A Freedman,Holly E Hartman,Emily S Nelson et al.
Darcy A Freedman et al.
Background: Translational science (TS) workforce development initiatives are emerging to fast-track conversion of findings into applications to improve health. Principles of TS were developed to guide workforce developmen...
A machine learning approach to identify at-risk populations for yellow fever vaccination [0.03%]
一种用于识别黄热病疫苗接种高危人群的机器学习方法
Madison Farnsworth,Kostiantyn Botnar,Justin T Nguyen et al.
Madison Farnsworth et al.
Introduction: Vaccinations play a crucial role in public and personal health. Vaccines such as the Yellow Fever 17D vaccine are effective at preventing disease and provide lifelong immunity with few adverse events. Levera...
Joseph Rigdon,Santiago Saldana,Sawyer Welden et al.
Joseph Rigdon et al.
Introduction: Multicenter clinical trials have become increasingly larger and more complex yet assuring high-quality data remains an essential task for data coordinating centers. ...
Research on the road: Partnering with community emergency medical services to expand access to clinical trials [0.03%]
基于社区的医疗急救服务与临床试验的合作研究项目以扩大受试者范围
Laurel O&#x;Connor,Alex Ulintz,Joel Rowe et al.
Laurel O&#x;Connor et al.
Traditional site-based clinical trials impose substantial logistical burdens that limit participation among individuals with geographic, mobility, transportation, and socioeconomic constraints, thereby undermining research equity and genera...
Mapping the landscape of dissemination and implementation science across the CTSA consortium: A multi-domain environmental website scan [0.03%]
从CTSA联盟绘制扩散和实施科学领域的地图：多领域环境网站扫描
Jing Li,Naomi Duffort,Salisa Westrick et al.
Jing Li et al.
Despite substantial investment in clinical and translational research, only a small proportion of evidence-based interventions are adopted and sustained in routine practice, contributing to persistent delays between discovery and population...
Are you still engaged? Leveraging the LMS to support engagement in asynchronous courses [0.03%]
你还在乎参与度吗？利用学习管理系统支持异步课程的参与度
Damian N Di Florio,Kristina B Nelson,Ryan C Jimison et al.
Damian N Di Florio et al.
Introduction: Asynchronous online courses are plagued with the challenge of engaging students consistently. Behavioral interventions, such as bottlenecks (enforced deadlines) and nudges (automated reminders), may modulate...
Prediction of α-synuclein seed amplification assay positivity in remotely followed LRRK2 G2019S carriers using a validated data-driven model [0.03%]
利用经验证的数据驱动模型预测远程跟踪的LRRK2 G2019S携带者α-突触核蛋白种子增殖试验阳性结果
Ruth B Schneider,Peggy Auinger,Charles S Venuto
Ruth B Schneider
The α-synuclein seed amplification assay (SAA) is a biomarker for Parkinson's disease (PD) but requires cerebrospinal fluid. We applied a validated model to predict α-synuclein SAA+ using remotely collected data in LRRK2 G2019S carriers. ...
Brian J Biroscak,Peter S Hovmand
Brian J Biroscak