大数据用于神经科学在预测,预防和个性化医学的背景下
Ousman Bajinka1, Serge Yannick Ouedraogo1, Na Li1
1Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University & Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, Shandong 250117 People's Republic of China.
The EPMA journal
|February 24, 2025
概括
大数据分析正在通过整合神经科学见解来定制治疗来彻底改变预测,预防和个性化医学 (3PM). 这种方法虽然有希望,但需要跨学科的合作和社区参与来克服当前的局限性.
科学领域:
- 神经科学是一个神经科学.
- 医疗信息学 医疗信息学
- 个性化医疗是个性化的医疗.
背景情况:
- 基于证据的医学依赖于准确的诊断和个性化的治疗方法来满足患者的需求.
- 先进的技术对于下一代基于证据的医学实践至关重要.
- 大数据分析是预测,预防和个性化医学 (3PM) 中的一个关键新兴领域.
研究的目的:
- 审查大数据工具在神经科学中的实际应用,以实现个性化医疗.
- 在3PM讨论大数据的突破,挑战和前景,特别是在神经科学领域.
- 探索人工智能 (AI) 与大数据和神经科学相结合的作用.
主要方法:
- 关于大数据在预测,预防和个性化医学中的应用的文献评论.
- 专注于大数据,神经科学和个性化治疗策略的交集.
- 分析当前的局限性和未来的挑战,在实施大数据在3PM.
主要成果:
- 大数据工具可以利用神经科学来创建更个性化的医疗方法.
- 在将大数据应用于3PM方面存在重大突破,特别是在神经科学领域.
- 人工智能在神经科学应用中扮演着越来越重要的角色,用于个性化医学.
结论:
- 大数据在3PM的整合,特别是在神经科学领域,仍处于早期阶段.
- 一种涉及跨学科合作,能力建设和社区参与的整体方法至关重要.
- 为了在个性化医疗中成功实施大数据,关节系统的最佳协调是必要的.
关键词:
先进的技术先进的技术.人工智能 (AI) 是一种人工智能.大数据就是大数据.面临的挑战 挑战疾病 治疗 治疗 疾病电子健康记录电子健康记录基于证据的医学是基于证据的医学.健康经济 卫生经济医疗保险的健康保险是什么卫生政策 卫生政策整体方法是一个整体的方法.跨专业的合作 跨专业的合作这是一个跨学科的跨学科.神经科学是一个神经科学.患者的满意度 患者的满意度预测性预防性个性化医学 (3PM / PPPM)更多相关视频
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