Using Artificial Intelligence and Mathematical Modeling for Advancement of Gold Nanotechnology in Therapeutic Biophysics

Bobbinpreet Kaur, K. Kaur
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Abstract

We will examine and critique the future uses of artificial intelligence (AI) and mathematical modelling in medical applications, with a particular emphasis on their interactions with gold nanotechnology. There have been significant advances in the use of artificial intelligence and mathematical modelling to medical biophysics. This particular methodology assists with the advancement of nanotechnology-related study projects. There have been many papers on this subject. Now it is time to collaborate and study all of these papers in order to evaluate the progress achieved in nanotechnology as a result. Theoretical and clinical data is reviewed in order to comprehend what is present-day and new. To provide more explanation as to variable interaction, AI and mathematical modelling are used to track the specified parameters and defined equations. This commentary covers the synthesis and production of gold nanoparticles using the Turkevich and Brust and Schiffrin one-pot procedure. Results obtained indicate that the size, shape, and overall functionality of gold nanoparticles directly impact the synthetic characteristics. The light-absorbing, wavelength, and optical density properties of the gold nanoparticle vary based on the features of the gold nanoparticle. Using the appropriate nanoparticle size (depending on the wavelength of light) enables more light absorption inside the nanoparticle. Transmission electron microscopy (TEM) and Fourier transform infrared radiation (FT-IR) spectroscopy are used to examine the cellular uptake and cytotoxicity of nanoparticles. Optimizing nanoparticle efficiency for precision cancer therapy is essential to maximizing treatment effectiveness. Manipulated nano-probes are employed in gold nanoparticle-based therapy in order to control tumour treatment. Nanoparticle sensors have the ability to collect a variety of different images and assists with diagnostics and therapeutic imaging techniques. Direct findings will assist push additional understanding and development in medical biophysics research, using AI and mathematical modelling, in biophysical gold nanoparticle technology applications.
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利用人工智能和数学建模推进金纳米技术在治疗生物物理学中的应用
我们将研究和批判人工智能(AI)和数学建模在医学应用中的未来应用,特别强调它们与黄金纳米技术的相互作用。在将人工智能和数学建模应用于医学生物物理学方面取得了重大进展。这种特殊的方法有助于纳米技术相关研究项目的进展。关于这个问题已经有很多论文了。现在是时候合作和研究所有这些论文,以便评估纳米技术所取得的进展。理论和临床资料进行审查,以了解什么是当今的和新的。为了对变量交互提供更多的解释,使用人工智能和数学建模来跟踪指定的参数和定义的方程。这篇评论涵盖了金纳米颗粒的合成和生产,使用Turkevich和Brust和Schiffrin一锅程序。结果表明,金纳米颗粒的大小、形状和整体功能直接影响合成性能。金纳米颗粒的吸光、波长和光密度特性根据金纳米颗粒的特性而变化。使用适当的纳米颗粒大小(取决于光的波长)可以使纳米颗粒内部吸收更多的光。透射电子显微镜(TEM)和傅里叶变换红外辐射(FT-IR)光谱研究了纳米颗粒的细胞摄取和细胞毒性。优化纳米颗粒的效率,以精确的癌症治疗是至关重要的,以最大限度地提高治疗效果。操纵纳米探针被用于基于金纳米粒子的治疗,以控制肿瘤的治疗。纳米颗粒传感器有能力收集各种不同的图像,并协助诊断和治疗成像技术。直接的发现将有助于推动医学生物物理学研究的进一步理解和发展,利用人工智能和数学建模,在生物物理金纳米颗粒技术应用中。
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