在aptasensing和提高诊断效率和准确性的趋势
Mohd Afaque Ansari1, Damini Verma2, Mohd-Akmal Hamizan3
1Biosensors and Nanobiotechnology Laboratory, Chemical Sciences, Faculty of Science, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE 1410, Brunei Darussalam.
ACS synthetic biology
|January 6, 2025
概括
与AI和CRISPR等技术集成的先进的apt-sensors为全球医疗保健提供了具有成本效益的,精确的诊断. 这些生物传感器改善了早期检测和患者的结果,特别是在服务不足的地区.
科学领域:
- 生物医学工程 生物医学工程
- 诊断技术 诊断技术 诊断技术
- 分子诊断学 分子诊断学
背景情况:
- 医疗诊断面临着人口变化和技术进步带来的挑战.
- 传统的诊断方法正在被生物传感器所超越,它们提供了成本效益,特异性和适应性.
- 应用传感器正在迅速发展,与微流体,CRISPR,可穿戴设备和机器学习 (ML) 进行集成.
研究的目的:
- 审查用于医疗保健诊断的口味传感器技术的关键进展.
- 探索适应传感器与人工智能和CRISPR等新兴技术的整合.
- 讨论适应传感器在精密医学和全球健康解决方案中的潜力.
主要方法:
- 关于食感器进步的科学文献的综述.
- 分析与微流体,CRISPR,可穿戴设备和机器学习 (ML) 结合的感觉传感器集成.
- 检查人工智能 (AI) 对诊断灵敏度和精度的影响.
主要成果:
- 与AI,CRISPR和其他技术的aptasensor集成可以提高诊断准确度,灵敏度和精度.
- 通过这些综合系统,实时监控和数据分析是可以实现的,推进了个性化医疗保健.
- 适应传感器技术存在商业化潜力,在临床环境中增加了可访问性.
结论:
- 通过人工智能和其他技术增强的aptasensors显示出对早期检测进行革命,降低成本和改善患者治疗结果的重大承诺.
- 解决标准化,临床验证和协作方面的挑战对于广泛实施食感器至关重要.
- 持续努力至关重要,以确保适应传感器成为全球多样化医疗保健系统的有效,可访问的解决方案.
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