相关实验视频

Updated: May 20, 2025

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

6.8K

通过机器学习为老年乳腺癌提供一个基于多个奥米克的预后模型:从瘤微环境的缺氧和免疫力中获得的见解

Yu Song1, Changjun Wang1, Yidong Zhou1

  • 1Department of Breast Disease, Peking Union Medical College Hospital, Peking Union Medical College, Beijing , China.

Clinical breast cancer
|May 17, 2025
PubMed
概括

一个新的机器学习模型使用多组数据预测了老年成人乳腺癌 (OABC) 的存活率. 缺氧和免疫微环境特征是OABC患者的关键预后因素.

关键词:
老年人乳腺癌 乳腺癌患者氧气过低是因为缺氧.机器学习 机器学习多个omics集成的整合.瘤 免疫 微环境

更多相关视频

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments07:46

Microfluidic Co-Culture Models for Dissecting the Immune Response in in vitro Tumor Microenvironments

Published on: April 30, 2021

4.6K
Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography09:53

Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography

Published on: August 16, 2020

6.8K

相关概念视频

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
5.5K