Accurate imaging diagnosis and recurrence prediction of hepatocellular carcinoma based on artificial intelligence / 临床肝胆病杂志

The integration of artificial intelligence into the medical field is developing rapidly and has achieved ground-breaking advances in the diagnosis, treatment, and efficacy evaluation of imaging medicine. This article reviews the research advances in artificial intelligence in imaging diagnosis of hepatocellular carcinoma and its performance in evaluating treatment outcome and predicting prognosis in combination with clinical features and looks forward to how artificial intelligence can be better used in the practice of hepatocellular carcinoma imaging in the era of growing clinical needs and rapid advances in diagnosis and treatment techniques.

Optimization of Compound Enzyme Extraction Technology of Total Flavonoids from Lycii Fructus by Response Surface Method / 中国中医药信息杂志

Objective To optimize the extraction technology of total flavonoids from Lycii Fructus by response surface methodology (RSM).Methods On the basis of single-factor tests, enzyme concentration, enzymolysis time, and enzyme solution temperature were selected as influencing factors during extraction to conduct three-factor three-level center combination design. The effects of three factors on the yield of total flavonoids from Lycii Fructus were analyzed by RSM.Results The optimum conditions for extraction technology of total flavonoids from Lycii Fructus were enzyme concentration 0.30%, enzymolysis time 1.0 h, enzyme solution temperature 60℃. The predicted extraction yield of total flavonoids was 0.9492%.ConclusionUsing RSM to optimize the extraction technology of total flavonoids from Lycii Fructus is stable, feasible, and simple, which can provide references for further study and application.