关于平板电脑技术的最新进展和人工智能的综述
Amit Sahu1, Sunny Rathee1, Shivani Saraf1
1Pharmaceutics Research Laboratory, Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, Madhya Pradesh, 470003, India.
Current drug targets
|January 12, 2024
概括
人工智能 (AI) 和机器学习 (ML) 正在通过提高效率和稳定性来彻底改变平板电脑配方. 这些技术与材料科学相结合,有望带来更为患者友好,更具成本效益的药物开发.
科学领域:
- 制药科学 制药科学
- 材料科学 材料科学 材料科学
- 计算科学 计算科学
背景情况:
- 像人工智能 (AI) 和机器学习 (ML) 这样的现代技术为制药科学提供了变革性的潜力.
- 将人工智能,机器学习和材料科学与已建立的制药实践相结合,可以彻底改变药片配方.
- 这种方法旨在开发更高效,更稳定,更为患者友好的药片配方.
研究的目的:
- 通过整合AI,ML和材料科学来审查平板电脑技术的进步.
- 探索这些技术如何提高平板电脑配方的效率,成本效益和质量.
- 突出AI和ML在制药研发中的潜力.
主要方法:
- 在制药研发中应用的AI和ML技术的审查.
- 讨论各种ML方法,包括人工神经网络,回归树,支持向量机器和多变量数据分析.
- 检查材料科学在平板电脑配方中的整合.
主要成果:
- 研究表明,在药物研究中,ML方法的可行性和有效性.
- 人工智能和机器学习应用显示出有希望的结果,可以显著改善产品开发.
- 在优化平板电脑配方过程中,AI和ML的成功应用.
结论:
- 整合纳米技术,人工智能,机器学习和材料科学为增强平板电脑配方提供了重大机会.
- 人工智能和机器学习在推动制药研发方面发挥着变革性的作用.
- 这些进步导致更高效,可靠,以患者为中心的药片配方.
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