您是否曾思考过仿真技术如何为帕金森病这类复杂疾病提供个性化药物治疗方案?本文将通过真实案例,展现在医疗健康领域如何通过预测建模将简单草图转化为临床医生与药师的强大决策支持工具,从而彻底改变患者的治疗方式。
Timothy E. Hoffman, Katherine J. Barnett, Lyle Wallis and William H. Hanneman of the Center for Environmental Medicine, Colorado State University are to be published in the October 2017 issue of the peer-reviewed Aging Cell journal of the Anatomical Society.
The aim of their investigation was to assess recent significant and unusual research observations regarding aging.
In cancer patients, an inability to access the surgical system can be lethal, but accessing it can be impoverishing, especially in low- and middle-income countries (LMICs). A group from the Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical, supported by National Cancer Institute used AnyLogic Software to evaluate the health, financial, and equity impacts of governmental and charitable policies for surgical oncology in a resource-limited setting.
Indiana University Health Arnett (IUHA) is an integrated healthcare system which consists of a full service acute care hospital and a multispecialty clinic with approximately 200 providers at numerous locations. In the past, provider schedules were driven by individual preference which led to increased variation in scheduling rules that failed to meet employer or patient expectations. To better serve patients and maintain provider approval, IUHA sought to develop a scheduling methodology that provides same day access for a designated patient population while allowing acceptable access to the remaining patient population.