@inproceedings{90fbb4bc4e4d44e5b963d38f04a7ae99,
title = "Development of a Multiscale Mechanistic Model for Predicting Tumor Response to Anti-miR-155",
abstract = "In this paper, we present a two-compartmental multiscale mechanistic model for investigating anti-miR-155 monotherapy for non-small cell lung cancer (NSCLC). The model was first quantified using in vivo data and subsequently extrapolated to human-scale for evaluating its translational potential in patients. Using the human-scale model, we explored the impact of dosing schedules on tumor response. The model demonstrated the efficacy of anti-miR-155 monotherapy in a virtual NSCLC patient, revealing treatment schedule-dependent suppression of tumor growth. Further analysis of the model will include testing the synergistic effects of anti-miR-155 with standard-of-care drugs, which will help design and optimize treatment schedules for combination therapy in NSCLC.",
keywords = "mathematical modeling, microRNA, nanomedicine, pharmacodynamics, pharmacokinetics, translational research",
author = "Prashant Dogra and Butner, {Joseph D.} and Vittorio Cristini and Zhihui Wang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 ; Conference date: 15-07-2024 Through 19-07-2024",
year = "2024",
doi = "10.1109/EMBC53108.2024.10782406",
language = "English (US)",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024 - Proceedings",
address = "United States",
}