The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

The diagnosis,treatment,and prognosis evaluation of cervical spondylosis are challenging in clinic.Machine learning(ML)models can improve the accuracy and efficiency of cervical spondylosis diagnosis by processing complex clinical data,assist in selecting more precise treatment plans,and evaluate prognosis.Through the domestic and foreign literature review on the application of ML models in cervical spondylosis in recent years,the study classifies and summarizes the relevant models applied in the diagnosis,treatment,and prognosis evaluation of cervical spondylosis,introduces classic algorithms such as random forest,as well as new algorithms such as convolutional neural networks,deep neural networks and long short-term memory networks,aiming to provide reference ML solutions for various stages of cervical spondylosis diagnosis and treatment.

Objective To explore the curative effects of mesenchymal stem cells(MSC)that overexpress in murine type 1 diabetes nephropathy (DN).Methods Mice were randomly divided into normal control(NC) group,DN group,C3-treated group,C3-MIGR1-treated group and C3-MIGR1-ICAM-1-treated group.Mice were given streptozotocin until the DN model was set up.The murine DN model was treated with murine MSC(C3H10T1/2),transfection empty vector of murine MSCs(C3H10T1/2-MIGR1/MSC) and murine MSCs (C3H10T1/2-ICAM-1/MSC)that overexpressed ICAM-1.After transplantation, the pathological features of kidneys were observed by Masson staining and the number of homing MSC cells to the kidney was calculated on days 1,3,7 by frozen section, while qPCR was used to analyze the expression of signaling molecules for collagen1, TGF-β1 and SMAD2 after treatment with various MSCs.Results Compared with DN group, the renal fibrosis treated with MSCs overexpressing ICAM-1 was significantly decreased by Masson staining.Three and seven days after transplant, the homing cells of MSC in different groups displayed no difference using tissue freezing section method.Furthermore, TGF-β1/SMAD signaling was lowly activated after the treatment with MSCs that overexpressed ICAM-1 compared with model mice(P<0.01).Conclusion MSCs that overexpress ICAM-1 can protect kidneys in the DN model.