Structure the records
An AI language model extracted drugs, indications and test models from US and EU approvals.
A global leader in genetically engineered rodent models wanted to know how 2022 guideline changes affected carcinogenicity testing. We analyzed drug approval records with AI and consulted experts to show how transgenic model use changed.
The client is a global leader in genetically engineered rodent models and services. It wanted to see how new guidance changed model selection for small molecule drug testing.
Prescouter was asked to assess how 2022 carcinogenicity guideline changes affected testing of small molecule drugs and the choice of rodent models, especially transgenic mouse models.
International guidance updated in 2022.
Which rodent models were chosen.
Disease areas favoring transgenics.
An AI language model extracted drugs, indications and test models from US and EU approvals.
We compared carcinogenicity testing before and after the guideline change to spot shifts.
Regulatory consultants and pharma toxicologists put the record analysis in context.
Prescouter presented the changes observed after the guideline update, especially in transgenic rodent use. It identified opportunities by indication, since some disease areas were more likely to use transgenic models, and its expert insights helped the client shape a marketing strategy.
Transgenic rodent use tracked.
Disease areas most likely to adopt.
Shaped by expert consultations.
Regulatory changes ripple slowly through drug approvals. Structured data shows the real shift before the market fully notices.
Turn regulatory records into a clear view of demand. Wherever you’re starting from, we’ll help you get there.
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