相关实验视频

Updated: May 15, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.2K

使用机器学习来预测转移性割耐药前列腺癌患者的存活率

Xingyue Huo1, Manish Kohli1, Joseph Finkelstein1

  • 1University of Utah, Salt Lake City, UT, USA.

Studies in health technology and informatics
|April 9, 2025
PubMed
概括

预测转移性割抵抗性前列腺癌 (mCRPC) 的存活率至关重要. 这项研究使用临床数据和机器学习准确预测3年生存率,识别PSA,白蛋白和LDH等关键预后生物标志物.

关键词:
mCRPC 的使用情况.机器学习是机器学习.预后生物标志物 预后生物标志物

更多相关视频

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.6K
A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer07:25

A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer

Published on: March 6, 2018

12.9K

相关概念视频

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...
308