人工智能和机器学习在加速纳米医学发现和发展中的作用。

IF 3.5 3区 医学 Q2 CHEMISTRY, MULTIDISCIPLINARY Pharmaceutical Research Pub Date : 2024-12-01 Epub Date: 2024-12-02 DOI:10.1007/s11095-024-03798-9
Vivek Agrahari, Yahya E Choonara, Mitra Mosharraf, Sravan Kumar Patel, Fan Zhang
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引用次数: 0

摘要

纳米医学在解决具有挑战性的健康问题方面的独特潜力正在迅速推动该领域的发展,从而产生更有效的产品。然而,这些复杂的系统通常会在特定功能的设计、可扩展的制造、表征、质量控制和临床翻译方面提出一些挑战。在这方面,人工智能(AI)和机器学习(ML)方法的应用可以实现更快,更准确的数据评估,识别趋势和预测结果,从而实现高效的纳米药物产品开发。本文讨论了人工智能和机器学习在纳米药物产品开发中的潜力,重点介绍了它们在发现、评估、制造和临床试验中的应用。人工智能和机器学习方法在纳米药物产品开发中的潜在局限性也被涵盖。
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The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine.

The unique potential of nanomedicine to address challenging health issues is rapidly advancing the field, leading to the generation of more effective products. However, these complex systems often pose several challenges with respect to their design for specific functionality, scalable manufacturing, characterization, quality control, and clinical translation. In this regard, the application of artificial intelligence (AI) and machine learning (ML) approaches can enable faster and more accurate data assessment, identifying trends and predicting outcomes, leading to efficient nanomedicine product development. This perspective paper discusses the potential of AI and ML in nanomedicine product development with a focus on their applications in discovery, assessment, manufacturing, and clinical trials. The potential limitations of AI and ML approaches in nanomedicine product development are also covered.

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来源期刊
Pharmaceutical Research
Pharmaceutical Research 医学-化学综合
CiteScore
6.60
自引率
5.40%
发文量
276
审稿时长
3.4 months
期刊介绍: Pharmaceutical Research, an official journal of the American Association of Pharmaceutical Scientists, is committed to publishing novel research that is mechanism-based, hypothesis-driven and addresses significant issues in drug discovery, development and regulation. Current areas of interest include, but are not limited to: -(pre)formulation engineering and processing- computational biopharmaceutics- drug delivery and targeting- molecular biopharmaceutics and drug disposition (including cellular and molecular pharmacology)- pharmacokinetics, pharmacodynamics and pharmacogenetics. Research may involve nonclinical and clinical studies, and utilize both in vitro and in vivo approaches. Studies on small drug molecules, pharmaceutical solid materials (including biomaterials, polymers and nanoparticles) biotechnology products (including genes, peptides, proteins and vaccines), and genetically engineered cells are welcome.
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