首页|Christian Doppler Laboratory Reports Findings in Prostate Cancer (A novel assess ment of whole-mount Gleason grading in prostate cancer to identify candidates fo r radical prostatectomy: a machine learning-based multiomics study)
Christian Doppler Laboratory Reports Findings in Prostate Cancer (A novel assess ment of whole-mount Gleason grading in prostate cancer to identify candidates fo r radical prostatectomy: a machine learning-based multiomics study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Prostate Ca ncer is the subject of a report. According to news reporting from Vienna, Austri a, by NewsRx journalists, research stated, “: This study aims to assess whole-mo unt Gleason grading (GG) in prostate cancer (PCa) accurately using a multiomics machine learning (ML) model and to compare its performance with biopsy-proven GG (bxGG) assessment. A total of 146 patients with PCa recruited in a pilot study of a prospective clinical trial (NCT02659527) were retrospectively included in t he side study, all of whom underwent Ga-PSMA-11 integrated positron emission tom ography (PET) / magnetic resonance (MR) before radical prostatectomy (RP) betwee n May 2014 and April 2020.”
ViennaAustriaEuropeCancerCyborgsEmerging TechnologiesHealth and MedicineMachine LearningOncologyProsta te CancerProstatectomyProstatic NeoplasmsSurgery
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