A machine learning model to predict efficacy of neoadjuvant therapy in breast cancer based on dynamic changes in systemic immunity.

Yusong WangMozhi WangKeda YuShouping XuPengfei QiuZhidong LyuMingke CuiQiang Zhang Yingying Xu

Published in: Cancer biology & medicine (2023)

Statistically significant relationships between several specific immune indices and the efficacy of NAT were revealed. A random forest model based on dynamic changes in peripheral immune indices showed robust performance in predicting NAT efficacy.

Keyphrases

machine learning
climate change
rectal cancer
stem cells
single cell
mesenchymal stem cells
locally advanced
squamous cell carcinoma
big data