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Last Posted: Jun 27, 2024

• Comparative Evaluation of Machine Learning Models for Subtyping Triple-Negative Breast Cancer: A Deep Learning-Based Multi-Omics Data Integration Approach.
  Shufang Yang et al. J Cancer 2024 15(12) 3943-3957
• Cost-effectiveness of talazoparib for patients with germline BRCA1/2 mutated HER2-negative advanced breast cancer in China and the US.
  Junjie Pan et al. Sci Rep 2024 14(1) 13935
• Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence.
  Mariia Ivanova et al. Cancers (Basel) 2024 16(11)
• Reproducibility and Explainability of Deep Learning in Mammography: A Systematic Review of Literature.
  Deeksha Bhalla et al. Indian J Radiol Imaging 2024 34(3) 469-487
• A Prospective Questionnaire-Based Study Evaluating Genetic Literacy and Impact of Brief Educational Intervention Among Breast Cancer Patients in a Low- to Middle-Income Country.
  Ashutosh Mishra et al. Ann Surg Oncol 2024
• A unified framework for estimating country-specific cumulative incidence for 18 diseases stratified by polygenic risk.
  Bradley Jermy et al. Nat Commun 2024 15(1) 5007
• Cost-Effectiveness of Unselected Multigene Germline and Somatic Genetic Testing for Epithelial Ovarian Cancer.
  Ranjit Manchanda et al. J Natl Compr Canc Netw 2024 22(2D)
• The REMAR (Rhein-Main-Registry) real-world study: prospective evaluation of the 21-gene breast recurrence score® assay in addition to Ki-67 for adjuvant treatment decisions in early-stage breast cancer.
  Christian Jackisch et al. Breast Cancer Res Treat 2024
• Awareness and intention-to-use of digital health applications, artificial intelligence and blockchain technology in breast cancer care.
  Sebastian Griewing et al. Front Med (Lausanne) 2024 111380940
• A pilot randomized controlled study to determine the effectiveness of video educational tool in BRCA1/2 pre-test counseling for Japanese breast cancer patients.
  Haruna Nakamura et al. J Genet Couns 2024
• Cost-Effectiveness Analysis of the Oncotype DX Breast Recurrence Score Test from a US Societal Perspective.
  Vladislav Berdunov et al. Clinicoecon Outcomes Res 2024 16471-482
• Genetic counseling and genetic testing for pathogenic germline mutations among high-risk patients previously diagnosed with breast cancer: a traceback approach.
  Hikmat Abdel-Razeq et al. Sci Rep 2024 14(1) 12820
• The psychosocial impact of prostate cancer screening for BRCA1 and BRCA2 carriers.
  Elizabeth K Bancroft et al. BJU Int 2024
• Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
  Andreas D Lauritzen et al. Radiology 2024 311(3) e232479
• Effects of the "AI-TA" Mobile App With Intelligent Design on Psychological and Related Symptoms of Young Survivors of Breast Cancer: Randomized Controlled Trial.
  Lulu Jiang et al. JMIR Mhealth Uhealth 2024 12e50783
• Enhancing early breast cancer diagnosis through automated microcalcification detection using an optimized ensemble deep learning framework.
  Jing Ru Teoh et al. PeerJ Comput Sci 2024 10e2082
• MAGENTA: a Multinational patient survey assessing the Awareness, perceptions and unmet needs in GENetic Testing and counselling among patients with breAst cancer.
  Sarah Powell et al. Front Oncol 2024 141380349
• Molecular profiling of metastatic breast cancer and target-based therapeutic matching in an Asian tertiary phase I oncology unit.
  Robert John Walsh et al. Front Oncol 2024 141342346
• A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features.
  Ranze Cai et al. Radiat Oncol 2024 19(1) 63
• Screening embryos for polygenic disease risk: a review of epidemiological, clinical, and ethical considerations.
  Antonio Capalbo et al. Hum Reprod Update 2024
• Association Between Ki-67 Proliferative Index and Oncotype-Dx Recurrence Score in Hormone Receptor-Positive, HER2-Negative Early Breast Cancers. A Systematic Review of the Literature.
  Mehwish Mooghal et al. Breast Cancer (Auckl) 2024 1811782234241255211
• Cost-effectiveness of the McGill interactive pediatric oncogenetic guidelines in identifying Li-Fraumeni syndrome in female patients with osteosarcoma.
  Juan David Rios et al. Pediatr Blood Cancer 2024 e31077
• Current practices and challenges in genetic testing and counseling for women with breast and ovarian cancer in Asia.
  Ava Kwong et al. Asia Pac J Clin Oncol 2024
• Deep Learning for Breast Cancer Risk Prediction: Application to a Large Representative UK Screening Cohort.
  Sam Ellis et al. Radiol Artif Intell 2024 e230431
• The Effects of National Insurance Coverage Expansion and Genetic Counseling's Role on BRCA1/2 Mutation Tests in Breast Cancer Patients.
  Sung Yoon Jang et al. Cancers (Basel) 2024 16(10)
• Risk Factors and Mortality Among Women With Interval Breast Cancer vs Screen-Detected Breast Cancer.
  Huiyeon Song et al. JAMA Netw Open 2024 7(5) e2411927
• Factors associated with psychological distress during genetic counseling in high-risk women with breast cancer in Turkey.
  Dilek Anuk et al. Support Care Cancer 2024 32(6) 359
• Men with metastatic prostate cancer carrying a pathogenic germline variant in breast cancer genes: disclosure of genetic test results to relatives.
  Michiel Vlaming et al. Fam Cancer 2024
• Targeted sequencing for hereditary breast and ovarian cancer in BRCA1/2-negative families from the Lynch Memorial Biobank reveals complex genetic architecture and phenocopies.
  Jocelyn N Plowman et al. HGG Adv 2024 100306
• Development and validation of a random survival forest model for predicting long-term survival of early-stage young breast cancer patients based on the SEER database and an external validation cohort.
  Lin-Wei Li et al. Am J Cancer Res 2024 14(4) 1609-1621
• Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening Mammography.
  James J J Condon et al. Radiol Artif Intell 2024 e230383
• Promoting Artificial Intelligence for Global Breast Cancer Risk Prediction and Screening in Adult Women: A Scoping Review.
  Lea Sacca et al. J Clin Med 2024 13(9)
• Long-term oncologic outcomes of unselected triple-negative breast cancer patients according to BRCA1/2 mutations.
  Woong Ki Park et al. NPJ Precis Oncol 2024 8(1) 96
• CDH1 Genotype Exploration in Women With Hereditary Lobular Breast Cancer Phenotype.
  Giovanni Corso et al. JAMA Netw Open 2024 7(4) e247862
• Enhancing clinical decision support with genomic tools in breast cancer: A Scottish perspective.
  A L Peters et al. Breast 2024 75103728
• Role of Breast Cancer Risk Estimation Models to Identify Women Eligible for Genetic Testing and Risk-Reducing Surgery.
  Azzurra Irelli et al. Biomedicines 2024 12(4)
• Women's Knowledge of Genomic Testing and Precision Medicine in Breast Cancer Treatment Decision-Making.
  Evelyn Robles-Rodriguez et al. Oncol Nurs Forum 2024 51(3) 199-208
• Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection.
  Sahem Al Muhaisen et al. Cureus 2024 16(3) e56945
• Deep Learning in Breast Cancer Imaging: State of the Art and Recent Advancements in Early 2024.
  Alessandro Carriero et al. Diagnostics (Basel) 2024 14(8)
• Machine learning and new insights for breast cancer diagnosis.
  Ya Guo et al. J Int Med Res 2024 52(4) 3000605241237867

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