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There are other approaches which we shortly review and compare in the Discussion section.
Whereas from a research perspective it might be important to examine and compare in the same study different types of biomarkers this is not case in clinical scenarios that require cost effective and reproducible measures linked to clinical outcomes.
The specific aim of this study was to investigate and compare in the same individual tumours, the relative influence of genomic instability and proliferative activity as risk factors for development of distant metastases in breast cancer.
The aim of this population-based database study was to evaluate and compare, in the years 2009 2013, the prescribing patterns of biosimilar and reference product ESAs in four large Italian geographic areas, where different health policy interventions promoting biosimilar use were adopted.
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The results are presented and compared in the next section.
Experimental results are presented and compared in the following sections.
In particular, Gaussian filters and particle filters were studied and compared in the nonlinear setup.
Both analytic and simulation methods are presented and compared in the proposed framework.
Both analytic and simulation methods for reliability assessment are presented and compared in the framework.
A unified standard enables data can be collected and compared in the same format.
In particular, classical border treatment strategies are discussed and compared in the context of data partitioning.
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