人工智能和生物信息学:从传统技术到智能方法的旅程
Hamid Jamialahmadi1,2, Ghazaleh Khalili-Tanha1,2, Elham Nazari3
1Department of Medical Genetics and Molecular Medicine, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Gastroenterology and hepatology from bed to bench
|September 23, 2024
概括
人工智能 (AI) 正通过增强生物数据分析来彻底改变生物信息学. 人工智能模型,包括机器学习和深度学习,在药物发现和个性化医学等领域加速研究和创新.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 生物信息学将计算技术与生物研究相结合.
- 人工智能 (AI) 模型对于分析复杂的生物数据越来越重要.
- 人工智能和生物信息学的融合标志着生物研究的重大进步.
研究的目的:
- 简要介绍人工智能在生物信息学中的作用.
- 探索各种AI方法及其在生物研究中的应用.
- 突出人工智能对加速科学发现和数据解释的影响.
主要方法:
- 按照PRISMA指南进行系统的文献搜索.
- 包括PubMed,Embase和谷歌学者 (2018-2024) 的研究.
- 机器学习 (ML),深度学习 (DL) 和自然语言处理 (NLP) 应用的探索.
主要成果:
- 人工智能方法在各种生物信息学领域得到了有效应用.
- 关键的应用领域包括基因组测序,蛋白质结构预测和药物发现.
- 人工智能在应对复杂的生物挑战方面表现出显著的有效性.
结论:
- 人工智能在推动生物医学科学的发展中发挥着关键作用.
- 人工智能工具加快了研究过程,并改善了生物数据的解释.
- 人工智能是生物信息学和相关领域创新的催化剂.
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