Literature Database Entry

torres-gomez2024dna-based

Jorge Torres Gómez, Bige Deniz Unluturk, Florian-Lennert Adrian Lau, Jennifer Simonjan, Regine Wendt, Stefan Fischer and Falko Dressler, "DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human Body," IEEE Transactions on Nanotechnology, November 2024. (online first)

Abstract

This study presents an innovative deoxyribonucleic acid (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.

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Jorge Torres Gómez
Bige Deniz Unluturk
Florian-Lennert Adrian Lau
Jennifer Simonjan
Regine Wendt
Stefan Fischer
Falko Dressler

BibTeX reference

@article{torres-gomez2024dna-based,
    author = {Torres G{\'{o}}mez, Jorge and Unluturk, Bige Deniz and Lau, Florian-Lennert Adrian and Simonjan, Jennifer and Wendt, Regine and Fischer, Stefan and Dressler, Falko},
    doi = {10.1109/TNANO.2024.3495541},
    note = {to appear},
    title = {{DNA-Based Nanonetwork for Abnormality Detection and Localization in the Human Body}},
    journal = {IEEE Transactions on Nanotechnology},
    issn = {1941-0085},
    publisher = {IEEE},
    month = {11},
    year = {2024},
   }
   
   

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Last modified: 2024-12-04