Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool | JCO Clinical Cancer Informatics
Journal of Clinical Oncology on X: "Development and validation of a new prognostic tool (RSClin) to individualize prognosis and prediction of chemotherapy benefit in early breast cancer https://t.co/omkWz15j05 #bcsm #JCO https://t.co/mCuadjoaud" /
A 23 gene–based molecular prognostic score precisely predicts overall survival of breast cancer patients - eBioMedicine
Validity of the prognostication tool PREDICT version 2.2 in Japanese breast cancer patients - Zaguirre - 2021 - Cancer Medicine - Wiley Online Library
Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years - ScienceDirect
Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints | PNAS
Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast cancer | Journal of Big Data | Full Text
Frontiers | A Risk Stratification Model for Predicting Overall Survival and Surgical Benefit in Triple-Negative Breast Cancer Patients With de novo Distant Metastasis
Applications of Machine Learning in Cancer Prediction and Prognosis - Joseph A. Cruz, David S. Wishart, 2006
Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman | Journal of General Internal Medicine
![PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/e42159fc5744daa5cc648d73fc79d0afdca22c21/2-Table1-1.png "PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar")
PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar
An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy | npj Breast Cancer
Prediction of Breast Cancer using Machine Learning Approaches
PDF) Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study
Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study | The BMJ
Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis
Machine learning and AI in cancer prognosis | JMDH
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer: Molecular Therapy - Nucleic Acids
Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study - The Lancet Healthy Longevity
Validity of the online PREDICT tool in older patients with breast cancer: a population-based study | British Journal of Cancer
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques | SN Computer Science
Ranking Breast Cancer Drugs and Biomarkers Identification Using Machine Learning and Pharmacogenomics | ACS Pharmacology & Translational Science
JPM | Free Full-Text | Breast Cancer Type Classification Using Machine Learning
