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Fixed-dose regimens are a common approach to administer drugs to achieve and maintain desired levels of the drug in the body. In this dosing strategy, a specific amount of medication is given at regular intervals, often multiple times a day, to ensure a consistent drug concentration in the bloodstream.
Fixed-dose regimens can be used for various routes of administration, including intravenous (IV) injections and oral medications. For IV administration, a predetermined amount of the drug is...
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相关实验视频

Updated: May 16, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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在tES中用于剂量规划的组优化方法.

R Salvador1, J Zhou2, B Manor2

  • 1Neuroelectrics, Barcelona, Spain.

bioRxiv : the preprint server for biology
|April 1, 2025
PubMed
概括
此摘要是机器生成的。

使用代表性头部模型进行跨电刺激 (tES) 的新团队级优化框架可以提高电场精度并减少变化. 这种方法提高了基于模型的tES协议在研究和临床环境中的可扩展性和可访问性.

关键词:
计算模型是计算模型.剂量参数剂量参数通过骨进行电刺激.

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科学领域:

  • 神经科学是一个神经科学.
  • 计算建模 计算建模
  • 医学物理 医学物理

背景情况:

  • 优化跨电刺激 (tES) 需要精确的电场 (E-field) 分布,通常使用个性化磁共振成像 (MRI) 衍生头部模型来实现.
  • 基于MRI的个性化模型在临床和研究应用中存在可扩展性的限制.
  • 在tES结果的个体间的变化需要强大的优化策略.

研究的目的:

  • 开发和评估tES参数的新型组级优化框架.
  • 提高基于模型的tES协议的可扩展性和可访问性.
  • 为了减少电子场分布和治疗结果的个体间变异性.

主要方法:

  • 使用多个代表性头部模型的计算建模来优化tES参数.
  • 采用了群组级优化方法,以最大限度地减少整个群体的E字段错误.
  • 在54名受试者的数据上使用leave-one-out交叉验证验证框架.

主要成果:

  • 群组优化显著优于基于标准模板或随机单个模型的协议.
  • 在参与者之间表现出显著的结果变化减少.
  • 确定了解剖特征和电子场参数之间的预测关系,从而实现了战略模型选择.

结论:

  • 拟议的群组优化框架为基于MRI的个性化tES建模提供了一个可扩展和强大的替代方案.
  • 这种方法提高了基于模型的tES的可行性和可访问性,以便在更广泛的临床和研究中使用.
  • 对解剖学-电子场相关性的洞察力可以进一步完善未来的优化策略.