Novel Applied Bayesian Statistics for Monitoring Neuromuscular Diseases

用于监测神经肌肉疾病的新型应用贝叶斯统计

• 批准号: DP0877624
• 负责人: Prof Anthony Pettitt
• 金额: $ 15.1万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0877624
• 关键词: Novel; Applied; Bayesian; Statistics; Monitoring

Neurological diseases such as motor neurone disease are caused by the progressive death of motor units serving a muscle. Currently there are no ways of quantifying and detecting change in the number of motor units serving a muscle which are non-invasive. Our research will provide an objective method for the progression of neuromuscular diseases to be monitored with minimal inconvenience to patients. This will allow clinical trials for possible effective treatments of neurological diseases such as motor neurone disease to be conducted with an objective measurement of disease progression.

神经系统疾病如运动神经元疾病是由肌肉运动单位的进行性死亡引起的。目前，没有非侵入性的量化和检测服务于肌肉的运动单元数量变化的方法。 我们的研究将为神经肌肉疾病的进展提供一种客观的方法，以最小的不便，病人进行监测。 这将允许对运动神经元疾病等神经系统疾病进行可能的有效治疗的临床试验，并对疾病进展进行客观测量。