Hue-Yu Wang

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CONTEXT Metformin is widely used for treatment of type 2 diabetes and has a potential application on the treatment of inflammation and cancer. Phosphatase and tensin homolog (PTEN) plays a critical role in cancer cell growth and inflammation; however, precise mechanisms remain unclear. OBJECTIVE We aimed to investigate the possible mechanisms of how PTEN(More)
OBJECTIVE Computer-prescriber order entry (CPOE) systems that lack clinical decision components actually increase errors and cause harm rather than the opposite. Recent studies have also demonstrated that dosing errors, typing errors, or miscommunication with other systems are the most common CPOE errors. Our objective was to develop an antibiotic dosing(More)
OBJECTIVE To assess the economic and humanistic outcomes of clinical pharmacist interventions for patients with asthma and to assess the effect on patients' quality of life. STUDY DESIGN A prospective cohort study was conducted at a medical centre in southern Taiwan. PATIENTS AND METHODS Seventy patients with moderate to severe asthma were enrolled in(More)
Vancomycin can induce potent adverse side effects if drug concentration is not controlled within a narrow safety range. Therefore, therapeutic drug monitoring (TDM) is followed to adjust dose and help monitor treatment effects. Because TDM are not helpful in patients taking vancomycin for the first time, it's usage has a limitation to ensure medication(More)
The type 2 transmembrane serine protease matriptase is broadly expressed in human carcinomas and hematological cancers. The proteolytic activity of matriptase is a potential target of drugs and imaging probes. We assessed the fate of active matriptase following the induction of matriptase zymogen activation. Exposing eight human carcinoma cells to pH 6.0(More)
BACKGROUND An adaptive-network-based fuzzy inference system (ANFIS) was compared with an artificial neural network (ANN) in terms of accuracy in predicting the combined effects of temperature (10.5 to 24.5°C), pH level (5.5 to 7.5), sodium chloride level (0.25% to 6.25%) and sodium nitrite level (0 to 200 ppm) on the growth rate of Leuconostoc mesenteroides(More)
This study developed a neural fuzzy network (NFN) model with evolutionary learning algorithm for use in the field of food mycology for predicting growth in foodborne fungi. The evolutionary learning algorithm in the proposed model is a hybrid Taguchi-genetic algorithm (HTGA) that simultaneously finds the optimal antecedent and consequent parameters by(More)