Precision Medicine lies at the edge of clinical development and fundamental research. Data analyses in this context, require the compliance with clinical regulations as well as the flexibility necessary for exploratory analyses. A fine balance is needed. Another challenge is the quality and volume of data to be analysed. The measurement of biomarkers in a clinical context is very different from what is performed routinely in a laboratory of a research department. The number of samples collected is generally large, even for Phase I trials.
The size of the data makes manual curation and analyses very time consuming. Additionally the samples are often collected in different locations and in heterogeneous conditions. These and other factors can introduce biases in the data. The detection of these biases requires knowledge of the very nature of the measurements performed.
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Clinical Bioinformatics bridges Academic & Clinical Research worlds | 