Yseop automates and translates data into actionable language, enabling the simplification of once complex workflows.
Yseop’s AI-based technologies generate core elements of specialist medical reports, including clinical study reports (CSR), patient narratives, and more.
Deliver highly accurate narratives by automating parts of the preclinical document review cycle.
Listen to the next episode of AI Uncovered with Derek Kerton.
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?
Listen to the next episode of AI Uncovered with Daniel O’Mahony.
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.
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.
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.
Using Large Language Models (LLMs) to create code, text or images, it’s no wonder that the concept of generative AI is booming.
Artificial intelligence (AI) is set to radically transform the pharmaceutical industry.
