NCT07009769已完成不适用
Retrospective Clinical Study for Developing an AI-Driven Precision Diagnostic System for Lung Cancer Based on Liquid Biopsy
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 865
- 试验地点
- 1
- 主要终点
- Diagnostic accuracy of the AI-based classification model using SERS signals from plasma-derived exosomes
研究概览
简要总结
The investigators aim to develop an AI-powered precision medicine system based on liquid biopsy that can comprehensively provide lung cancer patients with information on disease stage, histologic subtype, and presence of genetic mutations.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 40 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Diagnostic accuracy of the AI-based classification model using SERS signals from plasma-derived exosomes
时间窗: Retrospective, based on pre-collected samples through study completion, an average of 1 year
To evaluate the diagnostic performance (sensitivity, specificity, and overall accuracy) of a machine learning model trained on SERS spectral data of plasma-derived exosomes in distinguishing lung cancer patients from healthy controls.
次要结局
未报告次要终点
研究者
Hyun Koo Kim
Professor
Korea University Guro Hospital
研究点 (1)
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