Artificial intelligence in clinical trials of lung cancer: Current and future prospects
Volume 1, Issue 1, January 2025, Pages 34-51
Multi-omics synergy in oncology: Unraveling the complex interplay of radiomic, genoproteomic, and pathological data
Volume 1, Issue 1, January 2025, Pages 17-30
A narrative review of the prediction of immunotherapy efficacy for treating NSCLC: An artificial intelligence perspective
Volume 1, Issue 3, July 2025, Pages 193-203
Deep learning-based multimodal data fusion in bone tumor management: Advances in clinical decision support
Volume 1, Issue 3, July 2025, Pages 204-215
Redefining the future of cancer care: Intelligent Oncology unveiled
Volume 1, Issue 1, January 2025, Pages 31-33
Artificial intelligence in surgical oncology: A comprehensive review from preoperative planning to postoperative care
Volume 1, Issue 4, October 2025, Pages 267-276
Discovery of novel EGFR and BRAF inhibitors by machine learning approach
Volume 1, Issue 1, January 2025, Pages 7-16
Integrating multi-omic liquid biopsies and artificial intelligence: The next frontier in early cancer detection
Volume 2, Issue 1, January 2026, Page
Deep learning in abdominal organ segmentation: A review
Volume 1, Issue 4, October 2025, Pages 277-289
A depth-wise separable residual neural network for PCDH8 status prediction in thyroid cancer pathological images
Volume 1, Issue 4, October 2025, Pages 290-298
Current status and prospects of artificial intelligence in liver cancer management
Volume 1, Issue 3, July 2025, Pages 216-232
Graph attention network enables multipurpose prediction of imaging mass cytometry in a hepatocellular carcinoma clinical trial
Volume 1, Issue 4, October 2025, Pages 326-340
AI-driven network biology identifies SRC as a therapeutic target in metastatic pancreatic adenocarcinoma
Volume 1, Issue 3, July 2025, Pages 233-243
The new paradigm for global oncologists in the era of generative AI
Volume 1, Issue 3, July 2025, Pages 189-192
Deep learning applications in motion management for radiotherapy
Volume 1, Issue 3, July 2025, Pages 244-255
Harnessing computational power for intelligent oncology in the age of large models: Status, challenges, and prospects
Volume 2, Issue 1, January 2026, Page
A fully automated quantitative analysis method based on deep learning algorithms for immunohistochemical staining expression intensities
Volume 1, Issue 3, July 2025, Pages 256-264
Predicting the effectiveness of neoadjuvant therapy in rectal cancer patients: Model construction based on radiomics and carcinoembryonic antigens
Volume 2, Issue 1, January 2026, Page
Integrative machine learning-driven prioritization of ceRNA networks in adrenocortical carcinoma
Volume 2, Issue 2, April 2026, Page