Last Posted: Jun 11, 2020
- The effect of sample size on polygenic hazard models for prostate cancer.
Karunamuni Roshan A et al. European journal of human genetics : EJHG 2020 Jun - Development and initial clinical correlation of a DNA methylation-based blood test for prostate cancer.
Carson Jacob J K et al. The Prostate 2020 Jun - Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI.
Khan Zia et al. Sensors (Basel, Switzerland) 2020 Jun 20(11) - A genetic risk assessment for prostate cancer influences patients' risk perception and use of repeat PSA testing: a cross-sectional study in Danish general practice.
Fredsøe Jacob et al. BJGP open 2020 May - Introducing PIONEER: a project to harness big data in prostate cancer research.
Omar Muhammad Imran et al. Nature reviews. Urology 2020 May - Exploring Prostate Cancer Patients' Interest and Preferences for Receiving Genetic Risk Information About Cancer Aggressiveness.
Roy Siddhartha et al. American journal of men's health 14(3) 1557988320919626 - Diagnosing hereditary cancer predisposition in men with prostate cancer.
Pritzlaff Mary et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 May - The Impact of Whole Genome Data on Therapeutic Decision-Making in Metastatic Prostate Cancer: A Retrospective Analysis.
Crumbaker Megan et al. Cancers 2020 May 12(5) - Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy.
Savenije Mark H F et al. Radiation oncology (London, England) 2020 May 15(1) 104 - Early experience with Watson for Oncology: a clinical decision-support system for prostate cancer treatment recommendations.
Yu Seong Hyeon et al. World journal of urology 2020 Apr
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