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Breakthroughs in Prostate and Bladder Cancer Treatment - Full Video

Stanford Medicine

150K subscribers • 21 videos on Rounds • Health institution

YouTube
  • Published by Stanford Medicine, one of the health institutions Rounds lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
  • Presented by Eila C. Skinner, MD, as the video describes them

Assumes interest and some biology. Education, not medical advice.

57K views4 years ago

CancerClinical medicineCancer treatmentScreening and early detectionDiagnosis and clinical reasoning

Stanford Medicine specialists present advancements in the diagnosis and treatment of prostate and bladder cancers.

Stanford Medicine specialists in urologic oncology present novel discoveries in bladder and prostate cancer diagnosis and treatment methods, including artificial intelligence (AI) and liquid biopsy applications. Learn how research is transforming all aspects of clinical care and improving outcomes for patients facing these cancers. Originally recorded June 14, 2022 at the Center for Academic Medicine. For more information, please visit urology.stanford.edu/. Program Host EILA C. SKINNER, MD Chair of the Department of Urology Thomas A. Stamey Research Professor of Urology Image-Guided Treatment for Prostate Cancer GEOFFREY SONN, MD Associate Professor of Urology Bedside to Bench and Back in Prostate Diseases JAMES D. BROOKS, MD Vice Chair of the Department of Urology Keith and Jan Hurlbut Professor Chief of Urologic Oncology Bedside to Bench and Back in Prostate Diseases JAMES D. BROOKS, MD Vice Chair of the Department of Urology Keith and Jan Hurlbut Professor Chief of Urologic Oncology Personalized Molecular Assessment of Bladder Cancer PHILIP BEACHY, PHD The Ernest and Amelia Gallo Professor Professor of Urology and Developmental Biology

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Stanford Medicine is on Rounds' list of health institutions, and this upload is one of its most-watched lectures or explainers. Nobody has recommended it in the communities yet, so it ranks below community picks.