AIMC Journal:
Experimental hematology & oncology

Showing 1 to 3 of 3 articles

Multimodal AI and single-cell transcriptomics integrate to construct a histopathological prognostic model for bladder cancer, revealing the RTN3-glycolysis axis in chemoresistance.

Experimental hematology & oncology
BACKGROUND: Bladder cancer is a common malignant tumor of the urinary system, and gemcitabine-based chemotherapy often fails because of drug resistance. Tumor heterogeneity, particularly copy number variations (CNVs) heterogeneity at the genomic leve...

Leveraging multimodal cancer immunotherapy to amplify the efficacy of oncolytic viruses.

Experimental hematology & oncology
Oncolytic viruses (OVs) represent a versatile platform for cancer immunotherapy, capable of selectively infecting and lysing tumor cells while triggering systemic antitumor immunity. However, their therapeutic efficacy remains limited by antiviral im...

Biology-informed risk stratification of glioblastoma by integrating MRI-based intratumoral heterogeneity with clinical features: a multicenter validation study.

Experimental hematology & oncology
BACKGROUND: Refined risk stratification before randomization is clinically important for reducing prognostic imbalance across study arms when evaluating novel therapies for glioblastoma. However, current artificial intelligence-assisted prognostic mo...