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

As orthodontic treatment improves malocclusion and enhances oral health quality,the number of orthodontic patients is steadily increasing.However,a lack of understanding of periodontal inflammation and the health of periodontal supporting tissues during orthodontic treatment can lead to alveolar bone destruction and resorption.This,in turn,results in periodontal hard tissue-related com-plications such as bone fenestration,bone dehiscence,abnormal interradicular distance,and tooth mobility or loss.Currently,these complications present a significant challenge in orthodontic practice.This paper provides a comprehensive overview of common perio-dontal hard tissue-related complications during orthodontic treatment,along with clinical prevention and management strategies.A typi-cal case of multidisciplinary periodontal treatment is also presented,addressing alveolar bone resorption and tooth mobility in the upper anterior teeth caused by improper orthodontic treatment.This report aims to offer valuable reference for clinicians.

Objective:To evaluate the efficacy of Baduanjin combined with mecobalamin tablets in the treatment of type 2 diabetic peripheral neuropathy. Methods:Eighty patients with type 2 diabetic peripheral neuropathy who met the inclusion criteria were randomly divided into two groups with 40 patients in each group ( n=40). The control group took oral mecobalamin tablets and self-management, and the treatment group were treated with Baduanjin on the basis of the control group. All patients were treated for 12 weeks. The clinical symptoms were evaluated by Toronto Clinical Scoring System (TCSS), and the motor nerve conduction velocity (MCV) of tibial nerve and the sensory conduction velocity (SCV) of superficial peroneal nerve were measured by EMG evoked potential instrument. The hemorheological indexes (whole blood low shear viscosity, whole blood high shear viscosity and plasma viscosity) were measured before and after treatment. The clinical efficacy was evaluated and adverse events were recorded. Results:In the course of treatment, 39 patients in each group completed the study with each one dropout. The total effective rate was 87.2% (34/39) in the treatment group and 64.1% (25/39) in the control group. There was significant difference between the two groups ( χ2=5.64, P=0.018). After treatment, the TCSS score of the treatment group was significantly lower than that of the control group ( t=-6.23, P<0.01), the tibial nerve MCV (43.06 ± 4.19 m/s vs. 39.55 ± 4.30 m/s, t=3.65), the superficial peroneal nerve SCV (43.23 ± 4.31 m/s vs. 39.92 ± 3.74 m/s, t=3.62) in the treatment group were significantly higher than the control group ( P<0.001), while the whole blood high shear viscosity, the whole blood low shear viscosity, and the plasma viscosity in the treatment group were significantly lower than the control group ( t value were -10.36, -14.21, -13.88, all Ps<0.001). During the treatment, no serious adverse events occurred in both groups. Conclusion:Baduanjin combined with mecobalamin tablets in the treatment of type 2 diabetic peripheral neuropathy can reduce blood viscosity, promote blood circulation, increase nerve conduction velocity, improve clinical symptoms and signs, and improve clinical efficacy.