ORIGINAL RESEARCH
Published on 18 May 2026
A RAIR–ATC transcriptional axis and multimodal drug-response modelling reveal class-level vulnerabilities in thyroid cancer
doi 10.3389/fphar.2026.1789743
- 1,249 views
- Frontiers in Pharmacology
- Pharmacology of Anti-Cancer Drugs
- Research Topics
- Innovative Machine Learning Strategies for Therapeutic Target Identification in Cancer Drug Discovery
Innovative Machine Learning Strategies for Therapeutic Target Identification in Cancer Drug Discovery
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Articles
ORIGINAL RESEARCH
Published on 15 May 2026
Predicting the efficacy of recombinant human thrombopoietin in treating cancer therapy-related thrombocytopenia: based on stacking ensemble methods
doi 10.3389/fonc.2026.1751214
- 1,203 views
ORIGINAL RESEARCH
Published on 30 Apr 2026
Decoding FGFR inhibitor sensitivity in cholangiocarcinoma with interpretable machine learning and cross-platform pharmacogenomic validation
doi 10.3389/fphar.2026.1807701
- 846 views
ORIGINAL RESEARCH
Published on 19 Mar 2026
Interpretable machine-learning prediction of severe myelosuppression in colorectal cancer patients receiving chemotherapy using XGBoost and SHAP: a retrospective study with a web-based calculator
doi 10.3389/fonc.2026.1785146
- 1,522 views
- 2 citations
REVIEW
Accepted on 15 Jul 2026
Artificial intelligence applications in oxaliplatin-based chemotherapy for colon cancer: Advancing prognosis, toxicity prediction, and dose personalization
- 193 views
ORIGINAL RESEARCH
Accepted on 27 Jul 2026
DepPrior: Integrating CRISPR Dependency Predictability with Multi-omics Reproducibility to Prioritize Candidate LUAD Therapeutic Targets
Published in
Frontiers in Pharmacology
Pharmacology of Anti-Cancer Drugs
Other participating journals
Frontiers in Oncology
- 3.4 impact factor
- 6.6 citescore
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