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Advances in Nano Research Volume 15, Number 2, August 2023 , pages 129-139 DOI: https://doi.org/10.12989/anr.2023.15.2.129 |
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Nano-medicine effectiveness in pediatric patients: An artificial intelligence investigation |
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Shaona Wang and Fan Yang
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| Abstract | ||
| Emerge of nanotechnology has affected many aspects of our life and also triggers research studies in many fields. Nano-medicine are proven to be effective in encountering diseases. In the present study, aspects of the applications and effectiveness of nano-medicine in pediatrics patients are studied. In this regard, using experimental data of previous published researches, combination and dose of nano-medicines are optimized using response surface method and neural-fuzzy inference network. The input parameters of the selected multiple nano-medicines are dose and type and the output is the effectiveness of the combinations using IC50 parameter. A detailed parameter study is presented to observe effects of each inputs on the IC50. The results indicate that personalized scaling of nano-medicine is required in therapy of pediatric diseases such as cancers. | ||
| Key Words | ||
| artificial intelligence; cancer; nano-medicine; nanoparticles; pediatric patients | ||
| Address | ||
| Shaona Wang and Fan Yang: Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang 110022, Liaoning, China | ||