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Updated: Jun 30, 2025

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
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A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

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基于罕见疾病现实数据的纵向自然历史研究:机遇和一种新的方法

Laura Ann Adang1, Anjana Sevagamoorthy1, Omar Sherbini1

  • 1Division of Neurology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.

Molecular genetics and metabolism
|March 24, 2024
PubMed
概括

这项研究引入了一种标准化的方法,用于从医疗记录中收集罕见疾病自然史数据. 它解决了白血病学研究中的挑战,使得更好的治疗开发成为可能.

关键词:
临床试验准备就绪.长度疾病轨迹 长度疾病轨迹自然历史研究研究自然历史研究.这是一种新的方法.罕见疾病是一种罕见的疾病.现实世界的数据数据.

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