Design and Implementation of Intelligent Drug Controlled Release System Based on Support Vector Machine Algorithm

The mode of drug delivery has a vital influence on the therapeutic effect of cancer. Among various drug carriers for cancer treatment, microcapsules based on layer-by-layer self-assembly and drug controlled release systems based on mesoporous silica nanoparticles have attracted wide attention. Intelligent drug release system can realize the on-off control of drug release according to the focus signal, and is constructed by polymer encapsulated drugs. When the environment of intelligent polymer changes, its microstructure changes reversibly, that is, it changes from hydrophilic state to hydrophobic state, so that a drug release system responding to different stimulation signals can be constructed. As a new machine learning method, Support Vector Machine (SVM) based on statistical learning theory was originally used to solve the second-class classification problem. For the multi-class classification problems encountered in practice, at present, th e two commonly used improvement and popularization methods are decomposition-recombination method and direct solution method.

Automated summary

The mode of drug delivery plays a crucial role in the efficacy of cancer treatment. Microcapsules and mesoporous silica nanoparticles have gained wide attention as drug carriers. The intelligent drug release system allows for on-off control of drug release based on specific signals, and is created by encapsulating drugs with polymers. By changing the environment, the microstructure of the intelligent polymer can reversibly switch from hydrophilic to hydrophobic, enabling the construction of drug release systems that respond to different stimulation signals.