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PLOS ONE: Korean Risk Assessment Model for Breast Cancer Risk Prediction
PLOS ONE: Korean Risk Assessment Model for Breast Cancer Risk Prediction

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
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

Correlation between response to neoadjuvant chemotherapy and survival in  locally advanced breast cancer patients - Annals of Oncology
Correlation between response to neoadjuvant chemotherapy and survival in locally advanced breast cancer patients - Annals of Oncology

Independent validation of the PREDICT breast cancer prognosis prediction  tool in 45,789 patients using Scottish Cancer Registry data | British  Journal of Cancer
Independent validation of the PREDICT breast cancer prognosis prediction tool in 45,789 patients using Scottish Cancer Registry data | British Journal of Cancer

Frontiers | A Risk Stratification Model for Predicting Overall Survival and  Surgical Benefit in Triple-Negative Breast Cancer Patients With de novo  Distant Metastasis | Oncology
Frontiers | A Risk Stratification Model for Predicting Overall Survival and Surgical Benefit in Triple-Negative Breast Cancer Patients With de novo Distant Metastasis | Oncology

Prognostic models for breast cancer: a systematic review | BMC Cancer |  Full Text
Prognostic models for breast cancer: a systematic review | BMC Cancer | Full Text

Identifying the potential long-term survivors among breast cancer patients  with distant metastasis - Annals of Oncology
Identifying the potential long-term survivors among breast cancer patients with distant metastasis - Annals of Oncology

Independent validation of the PREDICT breast cancer prognosis prediction  tool in 45,789 patients using Scottish Cancer Registry data | British  Journal of Cancer
Independent validation of the PREDICT breast cancer prognosis prediction tool in 45,789 patients using Scottish Cancer Registry data | British Journal of Cancer

Validity of the prognostication tool PREDICT version 2.2 in Japanese breast  cancer patients - Zaguirre - 2021 - Cancer Medicine - Wiley Online Library
Validity of the prognostication tool PREDICT version 2.2 in Japanese breast cancer patients - Zaguirre - 2021 - Cancer Medicine - Wiley Online Library

Invasive carcinoma of no special type - Wikipedia
Invasive carcinoma of no special type - Wikipedia

Applied Informatics Decision Support Tool for Mortality Predictions in  Patients With Cancer | JCO Clinical Cancer Informatics
Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer | JCO Clinical Cancer Informatics

Validity of the online PREDICT tool in older patients with breast cancer: a  population-based study | British Journal of Cancer
Validity of the online PREDICT tool in older patients with breast cancer: a population-based study | British Journal of Cancer

A multivariable prognostic score to guide systemic therapy in early-stage  HER2-positive breast cancer: a retrospective study with an external  evaluation - The Lancet Oncology
A multivariable prognostic score to guide systemic therapy in early-stage HER2-positive breast cancer: a retrospective study with an external evaluation - The Lancet Oncology

An updated PREDICT breast cancer prognostication and treatment benefit  prediction model with independent validation | Breast Cancer Research |  Full Text
An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation | Breast Cancer Research | Full Text

Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast  Cancer | NEJM
Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer | NEJM

Predict Breast
Predict Breast

Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis,  treatment and follow-up† - Annals of Oncology
Early breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up† - Annals of Oncology

Frontiers | Development and Validation of a Nomogram for Predicting Survival  in Male Patients With Breast Cancer | Oncology
Frontiers | Development and Validation of a Nomogram for Predicting Survival in Male Patients With Breast Cancer | Oncology

PDF) 216PThe predictive value of NHS PREDICT for triple negative breast  cancer
PDF) 216PThe predictive value of NHS PREDICT for triple negative breast cancer

Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast  cancer population. | Semantic Scholar
Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast cancer population. | Semantic Scholar

Predict Breast
Predict Breast

Accurate prediction of breast cancer survival through coherent voting  networks with gene expression profiling | Scientific Reports
Accurate prediction of breast cancer survival through coherent voting networks with gene expression profiling | Scientific Reports

Predict Breast
Predict Breast

An updated PREDICT breast cancer prognostication and treatment benefit  prediction model with independent validation | Breast Cancer Research |  Full Text
An updated PREDICT breast cancer prognostication and treatment benefit prediction model with independent validation | Breast Cancer Research | Full Text

Machine learning improves the prediction of febrile neutropenia in Korean  inpatients undergoing chemotherapy for breast cancer | Scientific Reports
Machine learning improves the prediction of febrile neutropenia in Korean inpatients undergoing chemotherapy for breast cancer | Scientific Reports

The RSClin tool provides individualized prognosis estimates based on... |  Download Scientific Diagram
The RSClin tool provides individualized prognosis estimates based on... | Download Scientific Diagram

Validity of the online PREDICT tool in older patients with breast cancer: a  population-based study | British Journal of Cancer
Validity of the online PREDICT tool in older patients with breast cancer: a population-based study | British Journal of Cancer

CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular  subtype using RNA gene-expression data and artificial intelligence -  eBioMedicine
CUP-AI-Dx: A tool for inferring cancer tissue of origin and molecular subtype using RNA gene-expression data and artificial intelligence - eBioMedicine

Robust artificial intelligence tools to predict future cancer | MIT News |  Massachusetts Institute of Technology
Robust artificial intelligence tools to predict future cancer | MIT News | Massachusetts Institute of Technology