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Clinical trial data sharing among researchers, patients and sponsor companies has massive potential for catalysing scientific innovation. Ulo Palm considers the latest initiatives and their impact ...
In the dynamic environment of biotechnology trials, the significance of Clinical Data Management systems (CDMs) cannot be overstated. As we navigate the complexities of these trials and the ...
The rise in health research has increased the demand for biostatistical expertise to support study design and data analysis and guide evidence-based policies. However, many organizations are facing ...
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It is common to undertake qualitative research alongside randomised controlled trials (RCTs) when evaluating complex interventions. Researchers tend to analyse these datasets one by one and then ...
A clinical trial involves the study of the safety, efficacy and/or dosage regimen of a therapeutic intervention (such as a drug) in humans selected according to predetermined criteria of ...
Data mining is the process of extracting potentially useful information from data sets. It uses a suite of methods to organise, examine and combine large data sets, including machine learning ...
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