从癌症大数据到治疗:癌症研究中的人工智能
Danishuddin1, Shawez Khan2, Jong Joo Kim1
1Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, South Korea.
The journal of gene medicine
|November 8, 2023
概括
癌症大数据由奥米克和人工智能推动,有助于理解癌症生物学和改善患者的治疗结果. 这些先进的AI框架分析复杂的基因组和蛋白质组数据,以更好地诊断和个性化治疗.
科学领域:
- 生物医学是生物医学.
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 公共卫生 公共卫生
背景情况:
- 临床研究,基因组学,蛋白质组学和公共卫生记录的扩大导致了"癌症大数据"的概念.
- 欧米克技术对癌症大数据做出了重大贡献,增强了生物医学和疾病诊断.
- 广泛的癌症大数据的可用性有助于开发多式模式的人工智能 (AI) 框架.
研究的目的:
- 为了提供癌症大数据的概述.
- 探索机器学习和深度学习在癌症基因组和蛋白质组研究中的应用.
- 讨论人工智能在针对个性化癌症治疗的综合奥米克数据分析中的挑战和潜力.
主要方法:
- 对分析高维多omics数据的多式人工智能 (AI) 框架的审查.
- 在癌症基因组学和蛋白质组学中探索传统的机器学习和深度学习方法.
- 讨论人工智能技术,用于整合的数据分析.
主要成果:
- 人工智能框架显示出从复杂的癌症大数据中提取有意义的信息的希望.
- 机器学习和深度学习是癌症基因组和蛋白质组研究的宝贵工具.
- 人工智能技术为推进癌症生物学理解和改善患者护理提供了潜力.
结论:
- 多式人工智能框架对促进癌症生物学理解和改善患者护理具有很大的前景.
- 解决可解释性和数据质量方面的挑战对于AI在癌症大数据中至关重要.
- 人工智能技术对于瘤学个性化治疗选择的未来至关重要.
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