Opportunities for preclinical development report

Data management and informatics may transform the digital laboratory

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Holistic approaches to preclinical development may be the only way to go

IDBS has been investigating how pharmaceutical organizations can utilize data across the entire development process – encompassing chemical, biological, and analytical environments. The move towards ‘smart labs’ in the preclinical sphere should cover a number of fields, each unique in their scientific requirements.

Research findings

This white paper is the result of research into what those requirements are, and how the critical data produced in each preclinical domain should be captured, managed, and utilized. The domains we will be discussing are:

  • Bioanalysis
  • Drug metabolism
  • Formulations
  • Pharmacokinetics
  • Pharmacology
  • Safety and toxicology

Each domain requires fast and efficient data collection and accessibility, and every domain is linked to the others through a data value chain.

This white paper will discuss each domain in detail, address problems and opportunities for growth across the entire laboratory, and discuss data management and the data value chain.

Striving for optimization

IDBS is interested in automating laboratory processes, and discovering how best to develop a holistic preclinical development process. This optimization requires knowledge of, and insight into, both the scientific and data management process.

This whitepaper will also examine why past strategies may not have succeeded, and whether there is a particular order in which to tackle the diverse domains within preclinical development. We aim to provide key information for industry professionals to better understand the risks of such optimization, and suggest some proven starting points for implementing a strategy.