Literature Database Entry

hedayati2026bio-inspired

Bahram Hedayati, Karthik Reddy Gorla and Maurizio Magarini, "Bio-Inspired Navigation for Intelligent Nanoscale Drug Delivery Systems Based on Chemotaxis and Entropy," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, vol. 12, pp. 705–715, 2026.

Abstract

Biological intelligence provides a powerful paradigm for developing novel computational and communication frameworks inspired by living systems. Addressing complex diseases such as cancer, which remains one of the most persistent global health challenges, requires intelligent and targeted therapeutic strategies capable of distinguishing and eliminating malignant cells while preserving surrounding healthy tissue. In this work, we propose a biologically inspired navigation framework that combines chemotaxis, a natural process that governs directional cell movement in response to chemical gradients, with entropy exploration to guide nanoscale medical agents (NMA) toward cancerous regions within the tumor microenvironment (TME). The hybrid chemotaxis–entropy mechanism emulates adaptive decision making observed in biological organisms, enabling autonomous localization and tumor treatment through targeted drug delivery. Using hypoxia as a biomarker, due to the elevated oxygen consumption of cancerous cells, numerical simulations are performed for both single- and multi-tumor configurations. Comparative analyses in multiple performance metrics reveal that the hybrid navigation approach achieves higher efficiency, reliability, and tumor elimination rates compared to random and pure chemotaxis strategies. Furthermore, the feasibility of biologically grounded navigation is demonstrated to be significantly enhanced through an entropy-guided perspective, highlighting its potential for intelligent control and communication in nanoscale systems. This study establishes a computational framework linking biological intelligence, molecular communication, and nanoscale drug delivery, laying the foundation for future bio-inspired optimization of drug localization in cancer therapy.

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Bahram Hedayati
Karthik Reddy Gorla
Maurizio Magarini

BibTeX reference

@article{hedayati2026bio-inspired,
    author = {Hedayati, Bahram and Gorla, Karthik Reddy and Magarini, Maurizio},
    doi = {10.1109/tmbmc.2026.3708193},
    title = {{Bio-Inspired Navigation for Intelligent Nanoscale Drug Delivery Systems Based on Chemotaxis and Entropy}},
    pages = {705--715},
    journal = {IEEE Transactions on Molecular, Biological and Multi-Scale Communications},
    issn = {2332-7804},
    publisher = {IEEE},
    volume = {12},
    year = {2026},
   }
   
   

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Last modified: 2026-08-07