The future of preclinical development: a holistic approach to domains
Preclinical development is a vital period of data and information collection, where a number of specific scientific domains are essential.
From pharmacology, drug metabolism and bioanalysis, each offers important data needed for the investigation and regulatory submission of new drugs.
This data must be captured in the most effective and robust manner possible, with a system that both maintains accessibility and integrity.
An end-to-end data management and informatics software platform is one of the clear ways to achieve these objectives.
In this whitepaper, IDBS explain how to optimize data management across the different preclinical domains.
IDBS draws on insights from clients who have been through this process to outline clearly:
- The specific data and process considerations of each domain
- The challenges that must be addressed for the system to function effectively
- Why the structure of the domains is a vital but often overlooked element
Although there is no ‘one sized fits all’ approach to data management and applications, IDBS shares the core best practices that should always be followed.
This whitepaper breaks down a complex project into an easy to understand overview of how to build an optimized holistic preclinical system.
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