试验雷达 AI | ||
|---|---|---|
临床试验 NCT06389058 针对重度哮喘目前进行中(不再招募)。请查看临床试验雷达卡片视图和 AI 发现工具了解所有详情,或在此提出任何问题。 | ||
一个试验符合筛选条件
卡片视图
Using NLP and Neural Networks to Autonomously Identify Severe Asthma and Determine Study Eligibility in a Large Healthcare System 31,795
临床试验详情主要以英语提供。然而,试验雷达 AI可以提供帮助!只需点击“试验详解”即可查看和讨论您选择的语言的试验信息。
临床试验NCT06389058是一项针对重度哮喘的观察研究试验,目前试验状态为进行中(不再招募)。试验始于2023年5月1日,计划招募31,795名患者。该研究由圣地亚哥州立大学主导,预计于2026年3月1日完成。试验数据来源于ClinicalTrials.gov,最后更新时间为2026年2月27日。
简要概括
The study aims to to use new technologies (ML, AI, NLP), to autonomously identify moderate to severe asthma populations within an EHR system, describe differences in treatment patterns across different populations, and determine trial eligibility.
Primary Objectives Please ensure you detail primary objectives Aim 1. Determine and validate a diagnosis of severe asthma (SA) using predictive features obtained from the ...
显示更多详细描述
Asthma is a heterogeneous disease. The heterogeneity of asthma is supported by clinical observations and genome wide association studies (GWASs) that have identified over 200 asthma susceptibility loci in the DNA. These genetic 'hot spots' are near inflammatory cytokines, growth factors, and other inflammatory proteins knowingly linked to airway inflammation, including cytokines IL-4, -5, -13, -25, -33, and TSLP.
No...
显示更多官方标题
Using NLP and Neural Networks to Autonomously Identify Severe Asthma and Determine Study Eligibility in a Large Healthcare System
疾病
重度哮喘其他研究标识符
- G00014538
试验组/干预措施
| 参与者组/试验组 | 干预措施/治疗方法 |
|---|---|
Severe Asthma Patients with Severe or Uncontrolled Asthma | Recommendation for the diagnoses and treatment of Severe Asthma No intervention planned in this phase for the patients. Recommendations to be developed for healthcare and condition. |
主要终点
| 结果指标 | 度量标准描述 | 时间框架 |
|---|---|---|
Identification of Patients with Severe Asthma | Identify patients with severe asthma and compare diagnoses to that of medical professionals | 4 years |
参与助手
资格标准
适龄参与研究
儿童, 成人, 老年人
最低年龄要求
6 Years
适龄性别
全部
- Demographics: Males ~ 40%, Blacks ~ 5-10%, Hispanic ~15-30%, Urban ~80-90%
- None
没有联系数据。
1 位于 1 个国家/地区的研究中心
California
San Diego State University, San Diego, California, 92182-1309, United States