US Department of Defense Recommends Funding to Department of Biostatistics and Data Science

The Department of Defense has recommended $750,000 in funding for research led by the University of Texas Health Science Center at Houston (UTHealth) 公共卫生学院生物统计学和数据科学系。研究， “利用 FITBIR数据以改善严重脑损伤的临床实践。共同研究人员包括Ashraf Yaseen博士和Stacia Desantis博士。其他合作者包括Jovany Cruz Navarro博士和贝勒医学院的Claudia Robertson博士。

Severe traumatic brain injury (TBI) is one of the leading causes of death and disability in the US, and many gaps remain in outcome prediction after it occurs. After severe TBI, a patient’s vital signs are monitored closely by doctors, as any sudden changes in these vital signs may cause additional brain damage to occur. Dr. Yamal’s team will use statistical models and machine learning methods to learn what changes in a patient’s vital signs may predict how or if they recover after brain injury. To achieve high accuracy predictions, the team will combine data from research trials that have studied TBI within the past 10 years, examining vital signs information in the first few days after injury to predict long-term neurological recovery.

高准确的预后模型可以指导TBI的管理，帮助医疗保健提供者就某些治疗是否可能对其TBI患者带来任何好处做出明智的决定。该研究的结果还可以为临床实践提供有关治疗大脑内部压力升高的方法，从而导致更好的患者结局。雅马尔博士的团队预计，遭受严重TBI的平民和兵役成员都可能受到这些结果的积极影响。