RockStep explores cutting-edge solutions for the in vivo lab of the future
White Paper: Strategies for Effectively Leveraging Preclinical Data to Accelerate R&D
This white paper is based on the insights of an esteemed industry panel hosted by RockStep and explores why capturing in vivo study data can be so challenging – and potentially costly – in the current model.
This paper explores:
- The reasons organizations are reluctant to move away from outdated processes and legacy systems, despite reproducibility challenges and the upsides to improving animal welfare and lab process improvements.
- The benefits of “clean data” and why semantically consistent and annotated data is imperative for preclinical research
- Complexities related to in vivo data capture, including data harmonization, as well as laboratory process improvements, and budget
- How a modern-day solution can transform in vivo data capture for the better
- Ways to overcome hesitancy and fear in the in vivo community to drive change
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Strategies for Effectively Leveraging Preclinical Data to Accelerate R&D
“In vivo research is considered the final frontier of informatics because it is so complex. Working with live organisms involves adapting to daily changes and the conflicting requirements of flexibility and precision,”
While reaping the benefits of standardization is feasible, it can be overwhelming due to the high number of legacy systems in use today. Explained Baran, part of the challenge is connecting these systems to gain actionable insights while also leveraging novel systems. “We can certainly learn from the clinical side,” he emphasized, as “there’s even more data from patient trials” to contend with. “If it is feasible on the clinical side, it is feasible on the pre-clinical side,” he added.