手术中的新兴技术和策略:走向个性化医疗
Ruta Yardi1, Dario J Englot2, Chengyuan Wu3
1Department of Neurology, Geisinger Neuroscience Institute, Danville, PA, USA.
The Lancet. Neurology
|December 13, 2025
概括
抗药性的手术正在推进新的基于网络和个性化的治疗方法. 目前正在进行的研究旨在改善结果预测,并解决全球更好的患者护理的获取差异.
科学领域:
- 神经外科 神经外科
- 发病学 (Epileptology) 是一个专业的学科.
- 计算神经科学是一种神经科学.
背景情况:
- 手术是治疗耐药焦点的主要治疗方法.
- 由于网络理论,数据驱动模型和个性化医学,正在发生快速的进步.
研究的目的:
- 为了回顾手术不断发展的景观.
- 突出预测手术结果和扩大治疗选择的进展.
- 解决治疗准入和未来研究方向方面的挑战.
主要方法:
- 关于手术进展的当前文献的综述.
- 讨论网络理论,计算模型和的分子研究.
- 对微创手术,神经刺激和基于网络的干预措施的分析.
主要成果:
- 治疗选择已经扩大到包括微创和基于网络的方法.
- 通过计算和分子研究,预测手术结果正在得到改善.
- 在获得治疗方面仍然存在显著的差异,特别是在资源有限的地区.
结论:
- 手术正在变得更加精确和个性化.
- 对遗传标记和多原子数据的进一步研究可以完善治疗方法.
- 多学科合作和系统解决方案对于改善手术的全球准入和结果至关重要.
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