We then attempted to ease their pain by exploring modern informatics tools and applications that guide them to rapidly and intelligently identify, locate, search, extract and organize tractable sets of relevant data (internal or external, structured or unstructured, small molecule or biologic) for detailed analysis and visualization.
An “in-the-trenches” perspective on ELN is provided by guest author, Rick Betori, a National Institutes of Health Chemistry-Biology Interface Predoctoral Fellow and a Northwestern Department of Chemistry Departmental Fellow.
Drug discovery data just keeps getting bigger…and bigger….and more complex. This blog offers some solutions to the data deluge.
Drug discovery is hard (nine out of ten drug candidates fail), time-consuming (typically 10 - 15 years), and expensive (Tufts’ 2016 estimate $2.87Bn).
Medidata Rave and other EDC platforms hold volumes of clinical research and clinical trials data. As electronic data capture (EDC) and clinical data management (CDM) systems, they help clinical trial teams to capture, manage, and report patient data.
In the era of big data, it’s a dominant theme – the need to break down silos and better integrate and present data so more time is spent analyzing it and less time preparing it for analysis. Why should it be any different in clinical development?
