関連する実験動画

Updated: Feb 24, 2026

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance
05:19

A New Technique for Treating Low-risk Prostate Cancer—Super Active Surveillance

Published on: November 7, 2025

918

前立腺がんの積極的監視における生検アップグレードの予測モデル：スコーピングレビュー

Aurora J Grutman1, Aidan S Weitzner2, Alyssa G Arbuiso2

  • 1Johns Hopkins University School of Medicine, 1600 McElderry Street, Baltimore, MD, 21205, USA. agrutma1@jh.edu.

World journal of urology
|February 22, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
積極的監視予測学習モデル前立腺新生物

さらに関連する動画

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

17.2K
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound06:08

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

1.7K

関連する概念動画

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
793