The theory of " Sui Qi Suo De" originates from Zhang Zhongjing's Jin Gui Yao Lue and has been further developed by later generations of practitioners, offering significant guidance for clinical practice. Myelodysplastic syndromes (MDS) are common malignant disorders of the hematopoietic system, characterized by high heterogeneity and progressive mutational changes. In Traditional Chinese Medicine (TCM), MDS falls under the category of "marrow toxin exhaustion". This article applies the theory of " Sui Qi Suo De" in TCM to analyze the pathophysiological changes during different stages of MDS. Specifically, it explores the precursor stage (focusing on health maintenance and prevention before illness, addressing the " Suo De" of "gradual decline of vital qi"), the low-risk stage (strengthening the spleen and kidneys, clearing toxic pathogens, addressing the " Suo De" of "weakened vital qi invaded by pathogens"), and the medium-to-high-risk stage (detoxifying and reinforcing the body, harmonizing physical and mental health, addressing the " Suo De" of "dominant pathogens and declining vital qi"). The goal is to provide new directions and theoretical insights for the TCM treatment of MDS.

Objective To design and develop an intelligent triage model for earthquake casualties that is intended for medical rescue teams based on reinforcement learning and the feasibility of this model is verified via computer simulation.Methods The process,difficulty,and requirements of the triage of the injured during an earthquake medical rescue were analyzed.The Markov decision process was used to formally describe the problem.Subsequently,a triage model was designed and developed based on reinforcement learning.Finally,the effectiveness of the model was verified through simulation experiments.Results Compared with conventional triage strategies,this intelligent triage model showed significant advantages in terms of mortality rates and waiting time.Under experimental conditions,casualties decreased by nearly 50％,and the waiting time for both nonoperative casualties(T-class)and operative casualties(S-class)casual-ties also decreased.Conclusion The intelligent triage model can autonomously learn triage strategies,reduce the ca-sualty rate while lowering the waiting time for the injured,thereby effectively improving the efficiency of treatment of earthquake injuries.