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[Mathematical stimulation for the determination of prognosis in renal cancer]
Abstract:
The paper describes the most accurate models of the existing mathematical ones based on the clinical, pathological, and/or biomolecular predictors that can determine the indicators of different types of survival in patients with renal-cell carcinoma. The absence of highly accurate algorithms and nomograms suggests a further search for optimal disease prognosis models. The development of combined systems using the biomolecular markers of different histotypes of renal-cell carcinoma is most promising.
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