人工神经处理驱动的生物电子鼻子用于诊断糖尿病及其并发症
Woong Bi Jang1,2, Dongwon Yi3, Thanh Mien Nguyen4
1Laboratory for Vascular Medicine and Stem Cell Biology, Department of Physiology, Medical Research Institute, School of Medicine, Pusan National University, Yangsan, 50612, Republic of Korea.
Advanced healthcare materials
|July 14, 2023
概括
一个新的生物电子鼻子准确地诊断糖尿病并分类I类和II类,并使用呼气分析来分类心脏病等并发症. 这项技术对早期疾病检测和个性化治疗策略有前途.
科学领域:
- 生物技术是生物技术.
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
背景情况:
- 糖尿病及其并发症带来严重的死亡风险,特别是在年轻人群中.
- 早期诊断对于有效的治疗选择和减少死亡率至关重要.
- 目前对糖尿病的呼气分析仅限于疾病检测,缺乏详细的分类能力.
研究的目的:
- 开发和验证基于人工神经处理的生物电子鼻子,用于准确的糖尿病诊断和分类.
- 区分I型糖尿病和II型糖尿病,并识别糖尿病并发症,如心脏病.
- 探索基于菌体的电子鼻子在细胞和生物水平上分析生物样本的实用性.
主要方法:
- 使用基于M13菌体的电子鼻子 (e-nose) 来分析呼气样本.
- 在细胞,肝脏有机体和小鼠中研究了与糖尿病相关的特征.
- 使用神经模式分离用于数据分析和分类.
- 从培养细胞,肝脏有机体和小鼠收集的呼气样本.
主要成果:
- 模仿糖尿病环境的肝脏器官表现出与糖尿病小鼠相似的特征.
- 基于菌体的e-nose在小鼠的四种疾病中实现了超过86%的分类成功率.
- 成功诊断出1型糖尿病,2型糖尿病,糖尿病心肌病和心肌病.
结论:
- 基于M13菌体的生物电子鼻子在诊断和分类糖尿病及其并发症方面表现出高度准确性.
- 这项技术有可能为糖尿病和相关疾病的早期和精确诊断提供潜力.
- 进一步的研究可以促进生物电子鼻子在糖尿病管理的个性化医学中的应用.
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