Background: Investments in pharmaceutical companies remain challenging due to the inherent uncertainties of risk assessment.
Objectives: Our paper aims to assess the impact of the drug development setbacks (DDS) on the stock price of pharmaceutical companies while taking into account the company's financial situation, pipeline size and trend of the stock price before the DDS.
Methods: The model-based clustering based on finite Gaussian mixture modeling was employed to identify the clusters of pharmaceutical companies with homogenous parameters.
Background/aim: We investigated the hypothesis that dichloroacetate (DCA), a pyruvate dehydrogenase kinase inhibitor, and metformin (MET), an antidiabetic agent and complex I inhibitor, have synergistic cytotoxic effects in glioblastoma cells in vitro and in vivo.
Materials And Methods: We performed dose response experiments and combination index calculation. Apoptotic and necrotic cells were estimated by flow cytometry.