Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success
Cancer risk prediction models such as those published in are a cornerstone of precision medicine and public health efforts to improve population health outcomes by tailoring preventive strategies and therapeutic treatments to the people who are most likely to benefit. However, there are several barr...
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Veröffentlicht in: | Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2020-12, Vol.29 (12), p.2389-2394 |
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