RÉSUMÉ
@#Abstract: With the rapid development of artificial intelligence technology, small molecule generation models have emerged as a significant research direction in the field of drug discovery. These models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and diffusion models, have proven to possess remarkable capabilities in optimizing drug properties and generating complex molecular structures. This article comprehensively analyzes the application of the aforementioned advanced technologies in the drug discovery process, demonstrating how they supplement and enhance traditional drug design methods. At the same time, it addresses the challenges facing current methods in terms of data quality, model complexity, computational cost, and generalization ability, with a prospect of future research directions.
RÉSUMÉ
Objective Trauma-induced coagulopathy (TIC)is an acute coagulopathy in which coagulation,fibrinolysis,and anticoagulant pathways are activated after trauma due to massive hemorrhage and tissue damage.TIC is caused by hypothermia,acidosis,blood dilution,hyperfusion,tissue injury,etc.To diagnose TIC,we mainly rely on traditional coagulation function analysis and thrombelastogram (TEG).At present,the key to treat TIC is quick hemostasis.The basic treatment procedure includes transfusion of packed red blood cells and fresh frozen plasma by appropriate proportion,and timely infusion of platelets and coagulant material so as to stabilize blood pressure and reconstruct the blood coagulation mechanism.In this paper,we reviewed recent advances in the pathophysiological and treatment of TIC in order to provide references for further research in related fields.