4.6 Article

In-Body Sequential Multidrug Delivery Scheme Using Molecular Communication

Journal

IEEE ACCESS
Volume 10, Issue -, Pages 39975-39985

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2022.3166945

Keywords

Drugs; Diffusion tensor imaging; Nanobioscience; Propagation delay; Molecular communication (telecommunication); Receivers; Monitoring; Molecular communication; nanomedicine; nanonetworks; targeted drug delivery; combination therapy

Funding

  1. National Research Foundation of Korea (NRF) Grant through the Korean Government [Ministry of Science and ICT (MSIT)] [2021R1A2C1003507]
  2. National Research Foundation of Korea [2021R1A2C1003507] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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This study investigates the use of molecular communication (MC) in sequential drug delivery to improve the performance of combination therapy. By controlling the release times of drug-carrying nanomachines, the delivery time interval (DTI) between consecutive drug administrations can be maintained, leading to more effective treatment.
This study explores the application of molecular communication (MC) for the enhancement of the performance of sequential drug delivery in combination therapy-a multi-drug treatment procedure. To achieve high efficacy, it is essential to maintain a delivery time interval (DTI) between consecutive drug administrations. To this end, this study proposes a coordination scheme that enables the control of the release times of a network of drug-carrying nanomachines to ensure the maintenance of the DTI. Particularly, MC is employed to develop a centralized network, wherein the release times of the drugs from the drug-carrying nanomachines are managed by a controller nanomachine. This nanomachine is named the internal controller nanomachine, as it is placed within the human body. The performance of the proposed scheme is evaluated in terms of the DTI error. Furthermore, the analytical expression of the error is derived and its correctness is validated using simulations.

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