AML

Reza Mousavi1, Moaath K Mustafa Ali2, Daniel Lobo3,4

  • 1Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.

Journal of medical systems
|December 13, 2025
PubMed
概括

研究人员开发了一种新的计算方法,利用患者数据预测急性髓性白血病 (AML) 的进展. 这种方法准确地识别疾病驱动因素及其相互作用,帮助临床决策.