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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