Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Objective To explore the risk factors in post-polypectomy hemorrhage in rectum and to discuss the appropriate interventions.Methods A total of 313 patients with 373 polypi were included in this study. The clinical data were analyzed by SPSS 16 software. Results There were 313 patients with colorectal polypus curatively resected and 373 polypi in total.There were 11 (3.5％) patients subjected to post-polypectomy hemorrhage in rectum.Regression analysis showed that the independent risk factor of postpolypectomy hemorrhage in rectum was the hypertension of patients (P ＜ 0.01 ) and this hemorrhage had no significant correlations with patientg'ender,age,size of polypus,pathological characteristics and the methods of polypectomy.Conclusions Hypertension of patients is an independent risk factor in post-polypectomy hemorrhage.

AIM:To investigate the effect of puerarin on acute high glucose-induced attenuation of ACh relaxation in isolated rat aortic rings, and to elucidate its underlying mechanism. METHODS: The thoracic aortic rings with endothelium of male Sprague-Dawley rats were mounted on a bath system. Isometric relaxation of aortic rings was measured. RESULTS: ① After incubation with high concentration of glucose (44 mmol/L), the vascular relaxation responses to ACh decreased. ② After coincubation with puerarin (10-10-10-8 mol/L) and high glucose, the high glucose-induced attenuation of ACh relaxation responses of artery was partly inhibited in a dose-dependent manner. ③ After incubation with puerarin for 2 h, the HO-1 activity of thoracic aorta increased. ZnPPIX (an inhibitor of heme oxygenase-1) abrogated the protective effect of puerarin. CONCLUSION: Puerarin prevents the acute high glucose-induced attenuation of endothelium-dependent relaxation in aortic rings. The mechanism might be involved in the activation of heme oxygenase-1.