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Supervised learning based classification depends on learning from previously known data set. Here, these data sets governs training for classification of new data points. This training is mainly driven by two fundamental approaches. First one is derivative based approach and another centers around heuristics or direct search based methodologies. Both approaches have their pros and cons depending upon...
The concept of “confirmatory” studies is a standard and important component of the overall clinical trials strategy in oncology. However, it is critical that such studies are similar enough in basic design and how they are conducted that they actually have the realistic potential to confirm, or refute, objectively the findings of the original study. In this commentary, two examples of clinical studies...
I propose an alternative model of cancer in which metastasis need not all arise out of spread from the “original” tumour. The model assumes that cancer cells arise from stem cells that best grow in the organ of their differentiation. When the internal milieu allows it they also grow at other sites as well, thus complementing the conventional (spreading) metastatic process. Several phenomena in the...
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