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- 2019
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Mark
Artificial neural network models to predict nodal status in clinically node-negative breast cancer
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- Contribution to journal › Article
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Mark
Prediction of lymph node metastasis in breast cancer by gene expression and clinicopathological models: Development and validation within a population based cohort.
(
- Contribution to journal › Article
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Mark
Agreement between molecular subtyping and surrogate subtype classification: a contemporary population-based study of ER-positive/HER2-negative primary breast cancer
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- Contribution to journal › Article
- 2018
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Mark
Assessment of early response biomarkers in relation to long-term survival in patients with HER2-negative breast cancer receiving neoadjuvant chemotherapy plus bevacizumab : Results from the Phase II PROMIX trial
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- Contribution to journal › Article
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Mark
Abstract P4-09-03: On the development and clinical value of RNA-sequencing-based classifiers for prediction of the five conventional breast cancer biomarkers: A report from the population-based multicenter SCAN-B study
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- Contribution to journal › Published meeting abstract
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Mark
Randomized phase III trial of low-molecular-weight heparin enoxaparin in addition to standard treatment in small-cell lung cancer : The RASTEN trial
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- Contribution to journal › Article
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Mark
Coagulation biomarkers and prediction of venous thromboembolism and survival in small cell lung cancer : A sub-study of RASTEN - A randomized trial with low molecular weight heparin
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- Contribution to journal › Article
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Mark
Non-linear transformations of age at diagnosis, tumor size, and number of positive lymph nodes in prediction of clinical outcome in breast cancer
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- Contribution to journal › Article
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Mark
Protein array profiling of circulating angiogenesis-related factors during bevacizumab containing treatment in metastatic colorectal cancer
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- Contribution to journal › Article
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Mark
Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative
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- Contribution to journal › Article