Sanofi pushes to accelerate medical writing, reporting processes

By Nick Taylor

- Last updated on GMT

(Eoneren/iStock via Getty Images Plus)
(Eoneren/iStock via Getty Images Plus)

Related tags Sanofi Artificial intelligence Data management Patient centricity machine learning Natural Language Processing

The pharmaceutical company has enlisted the help of the AI and NLP tech specialist to streamline clinical study report generation and submission processes.

Sanofi is looking to scale its natural language generation capabilities with Yseop, positioning it to use its partner’s platform to accelerate the clinical study submission process.

Yseop, a company specializing in artificial intelligence (AI) and natural language processing (NLP), first teamed up with Sanofi four years ago to automate clinical safety reports before expanding its relationship to cover patient narratives. Sanofi is now using the Yseop platform for pharma and vaccine use cases in a push to expedite clinical trial dossier submission workflows.

Generating clinical study reports (CSRs) is a monotonous step before submitting new drugs for approval and often can take weeks or months to produce. Our Augmented Analyst platform helps Sanofi transform data into high-quality narratives and regulatory submission reports, at scale and error-free. Automating CSR writing with our technologies has helped reduce report writing times by an average of 40%​,” said Emmanuel Walckenaer, CEO of Yseop.

Yseop’s augmented medical writer platform is designed to automate report writing, thereby cutting the time it takes to translate data into accurate and consistent specialist medical reports. The company is pitching the technology as a way to save time, resources, and money while removing the risk of manual and human errors in reporting.

While automation is potentially a threat to the employment of humans, Yseop frames its technology as a way to free up medical writers to focus on more valuable and strategic work, rather than a way to replace them with machines. 

Medical writers and their teams face many challenges related to data review and turning insights into reports. Yseop makes what was once a very complex end-to-end process much leaner. Medical writers can then focus on the more complex, nuanced elements of report writing, which require a deeper level of human thought, knowledge, and experience​,” said Walckenaer.

Yseop sees its work with Sanofi as validation of that thinking. By automating two major sections of the CSR, the company reduced the writing time for those parts of the submission by 30%. Yseop recently partnered with Eli Lilly.

Related news

Show more

Related products

show more

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Overcoming rapid growth challenges with process liquid preparation

Overcoming rapid growth challenges with process liquid preparation

Content provided by Thermo Fisher Scientific - Process Liquid Preparation Services | 01-Nov-2023 | Case Study

A growing contract development manufacturing organization (CDMO) was challenged with the need to quickly expand their process liquid and buffer preparation...

Related suppliers

Follow us

Products

View more

Webinars