生物信息学和人工智能技术在使用OMIC数据识别热带疾病时的机遇,挑战和未来前景
S M Vidanagamachchi1, K M G T R Waidyarathna2
1Department of Computer Science, Faculty of Science, University of Ruhuna, Matara, Sri Lanka.
Frontiers in digital health
|December 10, 2024
概括
生物信息学工具和人工智能 (AI) 模型显著提高了使用OMIC数据的热带疾病识别. 整合多个omics数据集可以改善生物标志物发现和疾病爆发预测.
科学领域:
- 生物信息学和计算生物学
- 传染性疾病 传染性疾病
- 人工智能在医学中的应用
背景情况:
- 热带疾病对全球健康构成重大挑战,由病毒,细菌,寄生虫和真菌等各种病原体引起.
- 与生物信息学和人工智能相结合的Omics数据分析,为了解疾病机制和进展提供了强大的方法.
- 有效地识别和管理热带疾病对于全球公共卫生至关重要.
研究的目的:
- 对利用生物信息学工具和人工智能辅助模型用于热带疾病识别的机会,挑战和未来方向进行全面审查.
- 分析各种omics数据类型的应用,与用于疾病检测和理解的计算方法结合使用.
- 综合2015年至2024年间发表的同行评审文献的发现.
主要方法:
- 来自可靠数据库的约40篇文章 (2015-2024) 的系统文献综述.
- 基于关键词搜索生物信息学,人工智能,omics数据和热带疾病的相关研究.
- 分析与特定生物信息学工具 (如BLAST,Clustal Omega) 和人工智能模型 (如XAI,BERT,GPT-4,GeneViT) 相关的发现.
主要成果:
- 用生物信息学工具进行的OMICS数据分析在热带疾病识别方面取得了重大成果.
- 多种omics数据类型的整合可以提高生物标志物识别和疾病爆发预测的准确性.
- 人工智能模型在疾病识别,基因编辑和治疗目标发现方面展示了提高的精度,成本效益和效率.
结论:
- 生物信息学工具和人工智能对于通过OMIC数据分析推进热带疾病识别和管理至关重要.
- 综合多种omics数据和先进的AI技术,包括基于变压器的模型和GeneViT,显示出很大的前景.
- 未来的研究应该专注于利用这些计算方法进行更准确的诊断,个性化治疗和热带疾病的预测流行病学.
关键词:
在这里,我们可以看到AIAIAI.先进的AI是先进的人工智能.生物信息学是一种生物信息学.基因组学就是基因组学.蛋白质组学 蛋白质组学翻译学 翻译学 翻译学 翻译学这是一个热带热带.视觉变压器 视觉变压器更多相关视频
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