Jorge Torres Gómez;Bige Deniz Unluturk;Florian-Lennert Lau;Jennifer Simonjan;Regine Wendt;Stefan Fischer;Falko Dressler
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引用次数: 0
摘要
本研究介绍了一种基于 DNA 的创新型纳米网络,旨在检测和定位人体内的异常情况。该架构的概念整合了纳米传感器、纳米收集器和网关设备,通过分子和体内链接促进疾病指标的检测和通信。该系统利用 DNA 瓦片信号放大和融合规则(AND、OR、MAJORITY)建模,提高了检测精度,同时通过机器学习模型实现了健康异常的实时定位。大量模拟证明了这种方法在人体血管动态环境中的有效性,显示出良好的检测概率和最小的误报率。这项研究为早期疾病检测和定位提供了一种可扩展的高效方法,为及时干预和改善医疗效果铺平了道路,从而为精准医疗做出了贡献。
DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human Body
This study introduces an innovative DNA-based nanonetwork designed to detect and localize abnormalities within the human body. The concept for the architecture integrates nanosensors, nanocollectors, and a gateway device, facilitating the detection and communication of disease indicators through molecular and intra-body links. Modeling DNA tiles for signal amplification and fusion rules (
AND
, OR,
MAJORITY
), the system enhances detection accuracy while enabling real-time localization of health anomalies via machine learning models. Extensive simulations demonstrate the efficacy of this approach in the dynamic environment of human vessels, showing promising detection probabilities and minimal false alarms. This research contributes to precision medicine by offering a scalable and efficient method for early disease detection and localization, paving the way for timely interventions and improved healthcare outcomes.
期刊介绍:
The IEEE Transactions on Nanotechnology is devoted to the publication of manuscripts of archival value in the general area of nanotechnology, which is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.