Artificial intelligence-based comprehensive analysis of immune-stemness-tumor budding profile to predict survival of patients with pancreatic adenocarcinoma.

Tianxing ZhouQuan ManXueyang LiYongjie XieXupeng HouHailong WangJingrui YanXueqing WeiWeiwei BaiZiyun LiuJing Liu Baocun Sun

Published in: Cancer biology & medicine (2023)

T cells, CSCs, and TB within the tumor microenvironment were investigated. Novel strategies to predict the prognosis of patients with PDAC were established using AI-based comprehensive analysis and machine learning workflow. The nomogram-based immune-CSC-TB profile can provide accurate prognosis prediction for patients with PDAC.

Keyphrases

artificial intelligence
machine learning
big data
deep learning
mycobacterium tuberculosis
stem cells
cancer stem cells
squamous cell carcinoma
high resolution
lymph node metastasis
atomic force microscopy
electronic health record
mass spectrometry
signaling pathway
data analysis
single molecule