Abstract: A method for measuring a prognostic marker in prostate or breast cancer includes obtaining a tissue section of one of prostate tissue or breast tissue. The tissue section then undergoes multiplex fluorescence IHC-staining using a first marker for labelling epithelial cells, a second marker for labelling basal cells and at least one prognostic marker. Multiplex fluorescence image data is obtained. A first automatic image data analysis step is performed to convert the multiplex fluorescence image data to segmented image data. The segmented image data is segmented according to cell types including at least epithelial cells and basal cells. A second automatic image data analysis step is performed to identify image regions comprising non-malignant cells, which are excluded from further analysis. A quantitative parameter of the at least one prognostic marker for epithelial cells is determined in an image region not excluded in the second image data analysis step.

Abstract: A simulator based training curriculum uses validated metrics for a robotic-assisted radical prostatectomy that appropriately characterize the procedure to be trained. The simulation-based training gives trainees precise feedback on their performance with specific recommendations for improvement, proximate to the performance. Trainees are also provided a quantitative performance benchmark to work toward that provides a valid representation of their skill level in a clinically important performance characteristic or task. The trainee must demonstrate the ability to meet specific performance benchmarks before they are permitted to progress in their training program.