Lisa Rydén
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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
A comprehensive approach to rehabilitation interventions following breast cancer treatment - a systematic review of systematic reviews
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- Contribution to journal › Scientific review
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Mark
Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study
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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
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Mark
Cross comparison and prognostic assessment of breast cancer multigene signatures in a large population-based contemporary clinical series
(
- Contribution to journal › Article
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Mark
Effects of adjuvant tamoxifen over three decades on breast cancer–free and distant recurrence–free interval among premenopausal women with oestrogen receptor–positive breast cancer randomised in the Swedish SBII:2pre trial
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- Contribution to journal › Article
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Mark
The estrogen receptor coactivator AIB1 is a new putative prognostic biomarker in ER-positive/HER2-negative invasive lobular carcinoma of the breast
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- Contribution to journal › Article
- 2018
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Mark
Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative
(
- Contribution to journal › Article
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Mark
Longitudinal enumeration and cluster evaluation of circulating tumor cells improve prognostication for patients with newly diagnosed metastatic breast cancer in a prospective observational trial
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- Contribution to journal › Article