为将精准医学纳入临床实践,肺癌多omics数字人体化身:LANTERN研究
Filippo Lococo1,2, Luca Boldrini3,4, Charles-Davies Diepriye4
1Catholic University of the Sacred Heart, Rome, Italy. filippo.lococo@policlinicogemelli.it.
BMC cancer
|June 13, 2023
概括
兰特研究使用人工智能 (AI) 和多omics数据来创建数字人类化身,用于个性化肺癌预测和治疗. 这种方法旨在改善早期检测,诊断和患者护理策略.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 人工智能的人工智能
背景情况:
- 肺癌管理是复杂的,将传统的临床数据与新兴的OMICS数据整合在一起.
- 人工智能 (AI) 提供了开发使用各种omics数据集更准确的预测模型的潜力.
- 兰特恩研究解决了在肺癌护理中需要先进的预测工具的需求.
研究的目的:
- 开发用于肺癌诊断和组织学表征的准确预测模型.
- 创建个性化预测模型,用于个体特定的治疗.
- 为预防性医疗保健和肺癌患者的生活质量管理提供反循环.
主要方法:
- 多中心观察性临床试验招募了600名肺癌患者.
- 创建数字人类化身 (DHAs),整合临床因素,基因组数据和定量成像.
- 应用先进的机器学习 (ML) 和人工智能技术用于多变量模型开发和验证.
主要成果:
- 开发一个集成多领域数据的预测平台.
- 识别潜在的新生物标志物,以便早期检测和改善瘤诊断.
- 通过先进的预测建模建立个性化治疗方案.
结论:
- 兰特 (LANTERN) 项目将提供一个预测平台,增强肺癌管理的信息资产.
- 多学科数据和人工智能的整合将促进生物标志物发现和个性化医疗.
- 开发的数字人类化身 (DHAs) 将支持改善临床决策和患者结果.
关键词:
人工智能 (AI) 是一种人工智能.大数据就是大数据.数字化的人类化身 (DHA)基因组学就是基因组学.肺癌是一种肺癌.机器学习是机器学习.个性化医疗 个性化医疗精准医学是一门精准的医学.无线电学 (Radiomics) 是一种辐射学.系统医学是系统医学.更多相关视频
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