Prostate Cancer
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Last Posted: Mar 21, 2023
- Convolutional Neural Network Quantification of Gleason Pattern 4 and Association with Biochemical Recurrence in Intermediate Grade Prostate Tumors.
Yalei Chen et al. Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc 2023 100157 - Expanding inclusion criteria for active surveillance in intermediate-risk prostate cancer: a machine learning approach.
Michael Baboudjian et al. World journal of urology 2023 - Are population level familial risks and germline genetics meeting each other?
Kari Hemminki et al. Hereditary cancer in clinical practice 2023 21(1) 3 - Assessment of a Peer Physician Coaching Partnership Between a Designated Cancer Center Genetics Service and a Community Cancer Network Hospital.
Lauren G Santos et al. JAMA network open 2023 6(3) e231723 - The role of community health advisors' cancer history in implementation and efficacy of a cancer control intervention.
Maisha R Huq et al. Health education research 2023 - Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Shaoxu Wu et al. The Lancet. Oncology 2023 - Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer.
Mizuho Nishio et al. Cancers 2023 15(5) - A Polygenic Risk Score for Prostate Cancer Risk Prediction.
Kerry R Schaffer et al. JAMA internal medicine 2023 3 - Bringing Prostate Cancer Polygenic Risk Scores to the Clinic.
Robert J Klein et al. JAMA internal medicine 2023 3 - Development and External Validation of a Machine Learning Model for Prediction of Lymph Node Metastasis in Patients with Prostate Cancer.
Ali Sabbagh et al. European urology oncology 2023 - Development and external validation of multivariate prediction models for erectile dysfunction in men with localized prostate cancer.
Hajar Hasannejadasl et al. PloS one 2023 18(3) e0276815 - Deep-Learning Models for Detection and Localization of Visible Clinically Significant Prostate Cancer on Multi-Parametric MRI.
Zhaonan Sun et al. Journal of magnetic resonance imaging : JMRI 2023 - Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.
Timothy N Chu et al. Current urology reports 2023 - Prognostic Value of Low-Pass Whole Genome Sequencing of Circulating Tumor DNA in Metastatic Castration-Resistant Prostate Cancer.
Maibritt Nørgaard et al. Clinical chemistry 2023 - Novel, alternative splicing signature to detect lymph node metastasis in prostate adenocarcinoma with machine learning.
Ping Xie et al. Frontiers in oncology 2023 121084403 - Clinical performance of MRI & biomarkers for prostate cancer diagnosis in men at high genetic risk.
Cussenot Olivier et al. BJU international 2023 - Economic value of knowing BRCA status: BRCA testing for prostate cancer prevention and optimal treatment.
Oh Mok et al. Expert review of pharmacoeconomics & outcomes research 2023 - Implementation of a Telehealth Genetic Testing Station to Deliver Germline Testing for Men With Prostate Cancer.
Kwon Daniel H et al. JCO oncology practice 2023 OP2200638 - Usefulness of podcasts to provide public education on prostate cancer genetics.
Loeb Stacy et al. Prostate cancer and prostatic diseases 2023 - The Somatic Mutational Landscape of Mismatch Repair Deficient Prostate Cancer.
Fang Bangwei et al. Journal of clinical medicine 2023 12(2)
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About Cancer PHGKB
Cancer PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to cancer...more
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Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2023
- Page last updated:Mar 21, 2023
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