Ep. 271 How Biomarkers Enhance Precision Medicine in Non-Muscle Invasive Bladder Cancer with Dr. Katie Murray and Dr. Sarah Psutka Podcast Por  arte de portada

Ep. 271 How Biomarkers Enhance Precision Medicine in Non-Muscle Invasive Bladder Cancer with Dr. Katie Murray and Dr. Sarah Psutka

Ep. 271 How Biomarkers Enhance Precision Medicine in Non-Muscle Invasive Bladder Cancer with Dr. Katie Murray and Dr. Sarah Psutka

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As new genetic and AI-powered tools emerge for bladder cancer screening, are we getting closer to reducing the need for invasive cystoscopies? In part five of the 2025 BackTable NMIBC Creator Weekend™ series, host Dr. Vignesh Packiam engages in an insightful discussion with Dr. Sarah Psutka from the University of Washington and Dr. Katie Murray from NYU about the complexities and potential benefits of using biomarkers in non-muscle invasive bladder cancer (NMIBC). --- This podcast is supported by: Ferring Pharmaceuticals https://www.ferring.com/home-classic/people-and-families/uro-uro-oncology/bladder-cancer/ --- SYNPOSIS The conversation covers the current challenges of interpreting positive biomarkers without clinical correlates, the gold standard of biopsies, and the potential of various biomarkers such as urine cytology, FISH, and newer genomic tests like the Decipher Bladder Genomic Classifier. They also touch upon the role of AI in pathology, the cost implications of biomarkers, and how these tools might influence future clinical practices and patient decisions. The episode emphasizes the need for precision medicine, careful patient counseling, and the impact of false positives and negatives on both patients and healthcare providers. --- TIMESTAMPS 00:00 - Introduction05:25 - Challenges with Current Biomarkers08:10 - New Biomarkers and Genomic Classifiers21:10 - AI and Pathology in Bladder Cancer35:13 - Screening and Future Directions41:20 - Challenges and Future Directions in Bladder Cancer Surveillance57:51 - Conclusion --- RESOURCES DaBlaCa-15 Trialhttps://pubmed.ncbi.nlm.nih.gov/40280776/ Sam Chang CHAI Studyhttps://pubmed.ncbi.nlm.nih.gov/40514253/
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