论文标题
AI驱动的血液测试使用nanodsf检测癌症
An AI-powered blood test to detect cancer using nanoDSF
论文作者
论文摘要
我们描述了一种基于血浆变性曲线的新型癌症诊断方法，该方法通过非惯性扫描荧光测定法获得。我们表明，借助于92％的精度，可以使用变性曲线自动对84例神经胶质瘤患者和63例健康对照组进行自动分类。提出的高通量工作流程可以应用于任何类型的癌症，并可以通过简单的血液测试成为强大的泛滥诊断和监测工具。
We describe a novel cancer diagnostic method based on plasma denaturation profiles obtained by a non-conventional use of Differential Scanning Fluorimetry. We show that 84 glioma patients and 63 healthy controls can be automatically classified using denaturation profiles with the help of machine learning algorithms with 92% accuracy. Proposed high throughput workflow can be applied to any type of cancer and could become a powerful pan-cancer diagnostic and monitoring tool from a simple blood test.
