“In this study, we show that AI can be used to speed up the time-consuming step of outlining the prostate that's required for targeted prostate biopsy,” says Geoffrey Sonn, MD.
In this video, Geoffrey Sonn, MD, discusses the recent Journal of Urology paper, “Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on MRI for Targeted Biopsy,” for which he served as a study author. Sonn is assistant professor of urology and, by courtesy, of radiology at the Stanford University Medical Center in Stanford, California.
Enzalutamide granted approval in EU for nmHSPC
April 24th 2024The approval is supported by data from the phase 3 EMBARK trial, which demonstrated that enzalutamide with or without leuprolide prolonged metastasis-free survival compared with leuprolide alone in patients with high-risk biochemically recurrent nmHSPC.