Comprehensive collection of breast cancer research publications and scientific literature
Genetic mutations, signaling pathways, and molecular mechanisms
45 papersNovel screening methods and diagnostic technologies
32 papersNew therapeutic approaches and drug development
67 papersPhase I-IV clinical studies and outcomes
28 papersPopulation studies and risk factor analysis
41 papersArtificial intelligence applications in diagnosis and treatment
23 papersThis comprehensive review examines recent advances in targeted therapies for HER2-positive breast cancer, including novel antibody-drug conjugates, tyrosine kinase inhibitors, and combination strategies. The study presents clinical trial data from over 2,000 patients and discusses emerging resistance mechanisms and potential solutions.
This study evaluates the effectiveness of machine learning algorithms in detecting early-stage breast cancer from mammographic images. Using a dataset of 50,000 mammograms, the AI system achieved 94% sensitivity and 89% specificity, outperforming traditional screening methods.
Phase III clinical trial results demonstrating the efficacy of checkpoint inhibitors combined with chemotherapy in triple-negative breast cancer. The study shows significant improvement in progression-free survival and overall survival compared to chemotherapy alone.
This comprehensive bibliography includes key references used throughout our research and analysis. All sources are peer-reviewed and from reputable scientific journals and medical databases.
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