Publications by authors named "J B Coleman"
Introduction: Utilization of neoadjuvant systemic therapy (NAT) prior to radical nephroureterectomy (RNU) for upper tract urothelial carcinoma (UTUC) is inconsistent, and optimal patient selection for NAT is unclear. The purpose of this study was to evaluate the clinical benefit of NAT in high grade UTUC undergoing RNU.
Materials And Methods: The UTUC Collaborative Network (UCAN) identified patients who underwent RNU for high grade UTUC between 2000 and 2022.
Objective: To determine whether adjuvant transforming growth factor-β (TGF-β) inhibition with pirfenidone (PFD) can mitigate ureteral wall scarring and related complications in a rat model of upper urinary tract ablation with irreversible electroporation (IRE).
Methods: Transmural ablation of the ureter was performed with IRE in 24 rats. Post-IRE, animals were randomly assigned to receive PFD or no drug, followed by euthanasia at 2-, 5-, or 10-days.
Many printed electronic applications require strain-independent electrical properties to ensure deformation-independent performance. Thus, developing printed, flexible devices using 2D and other nanomaterials will require an understanding of the effect of strain on the electrical properties of nano-networks. Here, novel AC electrical techniques are introduced to fully characterize the effect of strain on the resistance of high-mobility printed networks, fabricated from of electrochemically exfoliated MoS nanosheets.
View Article and Find Full Text PDFBackground: The identification of predictors of treatment response is crucial for improving treatment outcome for children with anxiety disorders. Machine learning methods provide opportunities to identify combinations of factors that contribute to risk prediction models.
Methods: A machine learning approach was applied to predict anxiety disorder remission in a large sample of 2114 anxious youth (5-18 years).