相关实验视频

Updated: Jun 19, 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

使用结构化数据和机器学习预测头癌的治疗后结果:系统性审查

Mohammad Moharrami1,2,3, Parnia Azimian Zavareh3, Erin Watson1,2

  • 1Faculty of Dentistry, University of Toronto, Toronto, Canada.

PloS one
|July 24, 2024
PubMed
概括

机器学习 (ML) 模型在预测头癌的结果方面显示出显著的前景,超过了传统的生存预测模型. 进一步的研究应该集中在疾病进展和外部验证上,以获得更广泛的适用性.

更多相关视频

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma06:11

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

Published on: April 20, 2018

9.8K
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

6.8K

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...
336