生物医学应用的人工智能电化学传感器:技术进步和未来的挑战
Yafeng Liu1, Xiaohui Liu1, Xuemei Wang1
1State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Biosensors
|August 27, 2025
概括
由人工智能 (AI) 支持的智能电化学生物传感器提高了生物医学检测的准确性和灵敏性. 人工智能算法提高信号质量,克服精准医学复杂生理环境中的挑战.
科学领域:
- 生物医学工程
- 分析化学
- 人工智能
背景情况:
- 生物标志物对于疾病诊断和治疗至关重要,但在复杂的生物样本中难以检测到微量水平.
- 不特定的信号会干扰准确的生物标志物检测,导致潜在的错误判断.
- 电化学技术和人工智能的进步为敏感和特定的生物传感提供了新的可能性.
研究的目的:
- 审查人工智能电化学生物传感器在生物医学中的最新应用.
- 突出人工智能如何提高电化学生物传感器的性能.
- 讨论这些生物传感器在精准医学中的潜力.
主要方法:
- 对人工智能增强的电化学生物传感器的最新文献的审查.
- 在传感器材料选,性能预测,特征提取和信号处理中分析AI算法应用.
- 检查AI在克服电极污染和矩阵效应等检测挑战中的作用.
主要成果:
- 人工智能算法显著提高了电化学生物传感器的准确性,灵敏性和可重复性.
- 人工智能有效地解决了复杂样本中的信号噪声比差,化学干扰和矩阵效应等问题.
- 在疾病诊断,治疗监测,药物开发和可穿戴设备方面,
结论:
- 人工智能驱动的电化学生物传感器代表了生物医学检测的重大进步.
- 这些智能生物传感器在具有挑战性的生理条件下提供强大的生物标志物检测解决方案.
- 人工智能的整合为下一代生物传感器铺平了道路,
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