Last Posted: Aug 05, 2019
- Artificial intelligence reveals new breast cancer types that respond differently to treatment
Institute of Cancer Research, August 2019 - Emily and Caroline’s Story
CDC Bring Your Brave, 2019 - Assessment of Molecular Relapse Detection in Early-Stage Breast Cancer.
Garcia-Murillas Isaac et al. JAMA oncology 2019 Aug - Circulating Tumor DNA as a Marker for Disease Relapse in Early-Stage Breast Cancer-Bad Blood.
Karthikeyan Swathi et al. JAMA oncology 2019 Aug - Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.
Cruz-Roa Angel et al. Scientific reports 2017 746450 - Differences in TP53 Mutation Carrier Phenotypes Emerge From Panel-Based Testing.
Rana Huma Q et al. Journal of the National Cancer Institute 2018 110(8) 863-870 - Evaluation of tumor-infiltrating lymphocytes and association with prognosis in BRCA-mutated breast cancer.
Sønderstrup I M H et al. Acta oncologica (Stockholm, Sweden) 2019 Mar 58(3) 363-370 - Personalized Risk Prediction in Clinical Oncology Research: Applications and Practical Issues Using Survival Trees and Random Forests.
Hu Chen et al. Journal of biopharmaceutical statistics 2018 28(2) 333-349 - Psychological impact of providing women with personalised 10-year breast cancer risk estimates.
French David P et al. British journal of cancer 2018 118(12) 1648-1657 - Tamoxifen and CYP2D6: A Controversy in Pharmacogenetics.
Cronin-Fenton Deirdre P et al. Advances in pharmacology (San Diego, Calif.) 2018 8365-91
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