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1
Introduction
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Research Approach
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Outline
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Artificial Intelligence
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Machine Learning
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Predictor Algorithm
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Disclosure
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Applications
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Window Opportunity Trials
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Survival
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Why is it important
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Methods
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Results
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Differential expression of genes
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Immune related signatures
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Summary
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translational program
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study highlights
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new molecular subgroups
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ongoing projects
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in summary
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Q A
Description:
Explore a 53-minute webinar on genomic biomarkers for predicting response in early breast cancer patients, presented by Dr. Maggie Cheang. Delve into the heterogeneity of human solid tumors, particularly breast cancers, and learn how genomics and biology can advance therapy response prediction and improve patient outcomes. Discover research approaches, artificial intelligence applications, machine learning techniques, and predictor algorithms in cancer research. Examine window opportunity trials, survival analysis, and differential gene expression. Gain insights into immune-related signatures, translational programs, and newly identified molecular subgroups. Participate in a Q&A session and earn PACE credits upon completion. Enhance your understanding of cutting-edge genomic research in breast cancer treatment.

Genomic Biomarker for Predicting Response in Early Breast Cancer Patients

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