用人工智能驱动的癌症基因组多种语言模型的开发和验证:综合性审查
1Department of Biotechnology, Delhi Technological University (DTU), Delhi 110042, India.
Computational biology and chemistry
|August 31, 2025
概括
人工智能 (AI) 正通过整合多种基因组数据来彻底改变癌症基因组学. 人工智能支持的语言模型提供了更深入的癌症洞察力,改善了诊断,治疗和个性化护理的患者分层.
科学领域:
- 癌症学
- 基因组学
- 生物信息学
背景情况:
- 在早期诊断,个性化治疗和患者分层方面面临挑战.
- 通过先进的基因组数据分析, 人工智能正在改变癌症研究.
- 人工智能简化了多组数据集成,揭示了癌症异质性,并改善了治疗反应预测.
研究的目的:
- 审查癌症基因组学基于人工智能的多种语言模型的开发和验证.
- 突出人工智能在解决癌症管理方面的未满足需求方面的作用.
- 通过整合癌症基因组学不同类型的数据来探索协同的见解.
主要方法:
- 专注于人工智能为癌症基因组学提供多种语言模型.
- 综合人工智能方法的最新进展,挑战和未来方向的审查.
- 详细检查模型架构,培训,评估和数据预处理.
主要成果:
- 人工智能模型通过改善临床试验匹配,风险评估和治疗选择来增强瘤学.
- 人工智能有助于癌症分类,生物标志物识别,药物反应预测和患者分层.
- 与单一的OMIC方法相比,多OMIC数据集成为了解癌症提供了更好的洞察力.
结论:
- 在癌症基因组学研究中,人工智能支持的多种语言模型具有显著的前景.
- 这些模型可以从复杂的基因组数据中获得临床应用的生物学见解.
- 综合人工智能方法对于揭开癌症异质性和解决基因组挑战至关重要.
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