Increase efficiencies and productivity by automating core reporting tasks for medical writing.
Automate core regulatory report documents across the CTD pyramid and dramatically accelerate submission timelines.
Discover how Yseop, a French start-up, teams up with AWS to revolutionize clinical trials using AI for faster drug development.
This French start-up wants to use AI to develop new medicines more quickly Read More »
Discover the transformative potential of Generative AI in pharmaceuticals. Dive into five essential steps for implementation and investment, from leveraging competitive advantages to ensuring compliance with industry standards. Unveil the future of Pharma innovation with Generative AI.
Generative AI for Pharma: 5 Steps for Implementation & Investment Read More »
Emmanuel Walckenaer, CEO of Yseop, dives into how medical writers and pharma companies can get started in AI 101: Guide for Medical Writers.
AI 101: Guide for medical writers Read More »
Tim Martin, Executive VP of Product & Development at Yseop was recently featured in Forbes discussing AI regulation and the EU AI Act.
The Promise & Challenge Of Deploying AI In Clinical Trials Read More »
Listen to the next episode of AI Uncovered with Derek Kerton.
AI Uncovered with Derek Kerton (AI’s Impact on Automobiles) Read More »
Generative AI has quickly emerged as a leading trend – impacting the way humans perform tasks and work across industries. According to McKinsey & Company, generative AI’s impact on productivity has the potential to add trillions of dollars to the global economy. As generative AI technologies continue to evolve, it’s important to understand the best ways to implement these models. In this blog post, we’ll address a commonly asked question: how does generative AI work?
How Does Generative AI Work? Read More »
Listen to the next episode of AI Uncovered with Daniel O’Mahony.
AI Uncovered with Daniel O’Mahony (BioPharma 4.0 & The Role of AI in Drug Manufacturing) Read More »
Natural language generation (NLG) is a critical piece of AI. Specifically, NLG is a subsection of Natural Language Processing (NLP). NLG software turns structured data into written reports, providing explanations and narratives at a rapid pace. We’ve seen many advancements stemming from NLG. In this blog post, we’ll discuss what’s new in natural language generation in AI.
Latest Innovations in Natural Language Generation in AI Read More »
With Yseop Copilot, scientific writers can automate their workflows while staying GxP compliant, making it the ideal choice for non-clinical and clinical documents. Compared to traditional LLMs like ChatGPT, Yseop Copilot guarantees optimum security and compliance.
Yseop Copilot vs. Traditional LLMs Read More »
The concept of generative AI and Large Language Models (LLMs) continues to grab headlines. Whether it’s the new Bedrock service or StableLM, LLMs are everywhere.
How to Implement LLMs in Pharma Read More »