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智能手机集成的便携式微流体平台用于使用深度学习量化肝脏生物标志物.

Neha Ingole1, Sangeeta Palekar2, Madhusudan B Kulkarni3

  • 1Department of Electronics Engineering, Shri Ramdeobaba College of Engineering and Management, Nagpur, 440013, Maharashtra, India.

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|November 22, 2025
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概括

一个新的智能手机平台使用3D打印的微流体和人工智能精确测量肝脏生物标志物,如胆红素和ALT/AST. 这种便携式设备可以实现分散的肝功能测试,这对于远程医疗机构至关重要.

关键词:
深度学习是一种深度学习.肝脏生物标志物 肝脏生物标志物微流体学 微流体学检查点的护理测试.基于智能手机的传感器

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科学领域:

  • 生物医学工程 生物医学工程
  • 医学诊断 医学诊断 医学诊断
  • 移动卫生技术 移动卫生技术

背景情况:

  • 准确的肝脏生物标志物测试对于诊断和监测肝功能障碍至关重要,特别是在服务不足的地区.
  • 目前的方法往往需要集中实验室,限制资源有限的设置中的可访问性.

研究的目的:

  • 开发一种新的,智能手机集成的色度测量传感平台,用于定量肝脏生物标志物分析.
  • 通过微流体,深度学习和移动健康来实现分散和成本效益的肝功能评估.

主要方法:

  • 一个立体石刻 (SLA) 3D打印的微流体流动电池被设计为低试剂消耗和光学清晰度.
  • 用各种智能手机在受控照明外中对生物标志物的染色反应进行了成像.
  • 一个卷积神经网络 (CNN) 分析了图像用于定量生物标志物估计,使用智能手机适应性框架实现跨设备一致性.

主要成果:

  • 该平台实现了直接/总 bilirubin (0.1-20 mg/dL) 和 ALT/AST (10-300 U/L) 的临床相关检测范围.
  • 检测极限低至0.1mg/dL的胆红素和2.5U/L的AST.
  • 证明了高精度,平均R2为0.997,可重复性变化系数低于3%.

结论:

  • 这种创新的,具有成本效益的,便携式系统提供精确的肝功能评估.
  • 智能手机集成平台非常适合农村医疗保健和移动诊断,增强早期疾病检测和监测.