PathNetDRP: a？novel biomarker discovery framework using pathway and？protein？protein interaction networks for？immune checkpoint inhibitor response prediction

Mol-AIR: Molecular Reinforcement Learning with Adaptive Intrinsic Rewards for Goal-Directed Molecular Generation

Comparative Analysis of Atezolizumab Plus Bevacizumab and Hepatic Artery Infusion Chemotherapy in Unresectable Hepatocellular Carcinoma: A Multicenter, Propensity Score Study

Accurate Prediction of Cancer Prognosis by Exploiting Patient-Specific Cancer Driver Genes

Higher Number of Tumor-Infiltrating PD-L1+ Cells Is Related to Better Response to Multikinase Inhibitors in Hepatocellular Carcinoma

Predicting chemical structure using reinforcement learning with a stack-augmented conditional variational autoencoder

Blood-based biomarkers for immune-based therapy in advanced HCC: Promising but a long way to go

A Novel Machine Learning Model for Identifying Patient-Specific Cancer Driver Genes

Intrahepatic inflammatory IgA+PD-L1high monocytes in hepatocellular carcinoma development and immunotherapy

Binding affinity prediction for protein？ligand complex using deep attention mechanism based on intermolecular interactions