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But the idea that radiation's effects were directly proportional to its dose caught hold and soon was being used to predict cancer cases.
Their work helped inspire others to use genetics to predict cancer risks and develop personalized cancer treatments.
Because susceptibility genes can help predict cancer and unravel its course, researchers are constantly searching for new ones.
These results provide a framework for the design of strategies to predict cancer progression and therapeutic response.
Evaluation of survival models to predict cancer patient prognosis is one of the most important areas of emphasis in cancer research.
To meet these challenges, we discuss a cancer hallmark network framework for modeling genome sequencing data to predict cancer clonal evolution and associated clinical phenotypes.
Eventually, this neural network will be ready to do what a pathologist normally does: examine images of tissue to predict cancer.
Hsa-miR-196a2 may be a hot concern to predict cancer susceptibility.
The training set is used to develop a classification model to predict cancer features with a cross-validation strategy.
Nomograms are tools used in clinical practice to predict cancer outcomes and to help make decisions regarding management of disease.
That is, principal component analysis (PCA) was performed on the selected SNPs, and then the first principal component was extracted and used to predict cancer status.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com