Purpose: The aim of this study was to develop a machine learning model (named V/P-mics) to identify pulmonary embolism based on lung ventilation/perfusion single-photon emission tomography (V/P-SPECT) images.
Methods: We retrospectively collected the data of 260 patients from one hospital who underwent V/P-SPECT. Patients were randomly assigned to training and testing groups in a 7:3 ratio.
Nan Fang Yi Ke Da Xue Xue Bao
February 2016
Objective: To investigate the effect of c-Met inhibitor cabozantinib (XL-184) in inhibiting Listeria monocytogenes (LM) from invading Caco-2 cells to reduce the cell injury.
Methods: The cell invasion capacity of LM was assayed in Caco-2 cells incubated with different doses of XL-184 for different durations. Caco-2 cells incubated with XL-184 were seeded on the upper room of the transwell chamber, and the cell monolayer was exposed to LM infection followed by addition of horseradish peroxidase (HRP).