Technology Digest: the role of digital data management in today’s collaborative drug discovery approach

Background

The initial stages of drug discovery and preclinical testing represent some of the most labor intensive, and therefore costly, phases of drug development, with just 0.02% of the compounds entering preclinical testing progressing to clinical trials [1]. Consequently, ensuring that the processes mediating these stages are conducted meticulously is of utmost importance. For example, bioanalysis techniques generate critical data during discovery and development that are integral for early clinical programs [2]. A sensitive and specific bioanalytical technique is essential [2] along with diligent data management.

This is no small feat; with evidence suggesting that there was an 11% increase in growth within the preclinical pipeline between 2021–2022 [3], creating the need to increase throughput, often with the same resource. Many drug candidates may be brought forward by biotech companies that lack the infrastructure to develop them [4]. To mitigate this issue, market trends within the biopharma industry towards outsourcing continue [4], as collaboration is increasingly recognized as vital in providing the speed and experience needed to effectively tackle the early discovery and preclinical stages of the drug development lifecycle [1,4].

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This eBook includes:

TECHNOLOGY DIGEST: The role of digital data management in today’s collaborative drug discovery approach
WHITE PAPER: Cloud solutions for GxP laboratories: considerations for data storage
CONFERENCE REPORT: Data integrity in regulated bioanalysis: a summary from the European Bioanalysis Forum Workshop in collaboration with the MHRA

 

References

  1. Pharmaceutical Outsourcing. The Importance of Effective Data Capture and In-Lab Tech for Bioanalytical CROs: Implications for Quality and Customer Satisfaction (2020). [Accessed 29 September 2022] https://www.pharmoutsourcing.com/Featured-Articles/568514-The-Importance-ofEffective-Data-Capture-and-In-Lab-Tech-for-Bioanalytical-CROs-Implications-for-Qualityand-Customer-Satisfaction/
  2. Pandey S, Pandey P, Tiwari G, Tiwari R. Bioanalysis in drug discovery and development. Pharm Methods. 1(1), 14-24. (2010) doi: 10.4103/2229-4708.72223.
  3. Pharma Intelligence. Pharma R&D Annual Review 2022 Navigating the Landscapes. (2022) [Accessed 07 October 2022] https://pages.pharmaintelligence.informa.com/rdreviewutm_source=RDReview2022&utm_medium=whitepaper&utm_id=2296624620#
  4. PharmTech. An Integrated Approach to the Data Lifecycle in BioPharma (2022). [Accessed 29 September 2022] https://www.pharmtech.com/view/an-integrated-approach-to-the-data-lifecycle-inbiopharma

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