Spatial Morphoproteomic Features Predict Uniqueness of Immune Microarchitectures and Responses in Lymphoid Follicles.

Multiplex imaging technologies allow the characterization of single cells in their cellular environments. Understanding the organization of single cells within their microenvironment and quantifying disease-status related biomarkers is essential for multiplex datasets. Here we proposed SNOWFLAKE, a graph neural network framework pipeline for the prediction of disease-status from combined multiplex cell expression and morphology in human B-cell follicles.

Laparoscopic pyeloplasty using the postanastomotic dismemberment method: technique and results.

Background And Purpose: Despite excellent results, widespread acceptance of the laparoscopic dismembered Anderson-Hynes pyeloplasty (AH) is hampered by its steep learning curve. Laparoscopic nondismembered pyeloplasty techniques, although simpler, have not matched the results of AH. We have been using a technical modification of AH to combine its excellent outcome with technical ease of nondismembered pyeloplasties.