Incorporating AI into the Process Validation Lifecycle: A Two-Way Street

Artificial intelligence (AI) continues to evolve and propel businesses forward; however, the Life Science industry's adoption of these technologies is delayed in comparison with other industries. AI technologies have the ability to greatly reduce cost and time to market of products, especially when applied to and integrated with the process validation lifecycle. Due to the nature of the highly regulated industry, these technologies also introduce a number of challenges to the industry, particularly when it comes to validating these solutions. This presentation aims to demonstrate how developing AI solutions integrates with the process validation lifecycle, while demystifying some of the nuances around various AI solutions and terminology. It also works to lay out comparisons between AI, multivariate statistics, and traditional Continued Process Validation (CPV) methods; highlighting the benefits of each and use cases where each solution may be preferred.

Authors

Institutions

Publication Details

Journal
PDA Journal of Pharmaceutical Science and Technology
Published
2025-01-01
DOI
https://doi.org/10.5731/pdajpst.2025.25403
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incorporating AI into the Process Validation Lifecycle: A Two-Way Street

Alyssa Burke
1 citations
PDA Journal of Pharmaceutical Science and Technology
Fault Detection and Control Systems
1.21
article

Incorporating AI into the Process Validation Lifecycle: A Two-Way Street

Alyssa Burke
article en
1 citations

Abstract

Artificial intelligence (AI) continues to evolve and propel businesses forward; however, the Life Science industry's adoption of these technologies is delayed in comparison with other industries. AI technologies have the ability to greatly reduce cost and time to market of products, especially when applied to and integrated with the process validation lifecycle. Due to the nature of the highly regulated industry, these technologies also introduce a number of challenges to the industry, particularly when it comes to validating these solutions. This presentation aims to demonstrate how developing AI solutions integrates with the process validation lifecycle, while demystifying some of the nuances around various AI solutions and terminology. It also works to lay out comparisons between AI, multivariate statistics, and traditional Continued Process Validation (CPV) methods; highlighting the benefits of each and use cases where each solution may be preferred.

PDA Journal of Pharmaceutical Science and TechnologyVol. 79(4)
Media Working Group (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Fault Detection and Control Systems
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Incorporating AI into the Process Validation Lifecycle: A Two-Way Street — Alyssa Burke · PDA Journal of Pharmaceutical Science and Technology (2025) | TGRS Research Map | TGRS