Artificial intelligence in clinical trials of lung cancer: Current and future prospects
January 2025
Lung cancer remains a leading cause of mortality globally, with particularly high incidence rates in China. This review investigates the pivotal role of artificial intelligence (AI) in the clinical...
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Multi-omics synergy in oncology: Unraveling the complex interplay of radiomic, genoproteomic, and pathological data
January 2025
The advent of multi-omics approaches has revolutionized the field of oncology by enabling a comprehensive understanding of cancer biology through the integration of diverse biological data. This review...
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From promise to practice: Harnessing artificial intelligence for breast cancer screening
January 2025
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Development and validation of AI delineation of the thoracic RTOG organs at risk with deep learning on multi-institutional datasets
January 2025
Accurate contouring of thoracic organs at risk (OARs) is essential for minimizing complications in radiation treatment. Manual contouring of thoracic OARs is not only time-consuming but also prone to...
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We need intelligent oncology everywhere
January 2025
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Discovery of novel EGFR and BRAF inhibitors by machine learning approach
January 2025
In the pharmaceutical industry, epidermal growth factor receptor (EGFR) and B-Raf proto-oncogene, serine/threonine kinase (BRAF) are the primary targets for targeted cancer therapy....
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Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects
Available online 20 February 2025
Artificial intelligence (AI) demonstrates unprecedented potential in the study of tumor drug resistance and precision therapy. With the rapid growth of multi-omics data and biomedical information, AI...
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