Large Language Models (LLMs) in Biopharma
Translate the power of Generative AI for R&D, Clinical Trials and Medical Affairs.
Large Language models (LLMs), such as ChatGPT, can mine insights from complex biomedical datasets. However, implementing LLMs in the biopharma industry comes with challenges. Off-the-shelf models may struggle with hallucinations, fail at math, and not meet Protected Health Information (PHI) requirements. Training costs and operationalizing proprietary LLMs also pose practical impediments to LLM adoption.
We at Aganitha have designed “AI as research collaborator” (ARC™) framework to maximize the opportunity and reduce risks from LLM adoption.
ARC™ combines the power of LLMs with biopharma expertise, providing you with tailored tools and services to unlock the full potential of LLM working with public and your proprietary data. See our demo videos below to explore how LLMs can be applied across the biopharma value chain.
Accelerate Discovery, Minimize Risk
ARC™ for Biopharma R&D
With these challenges in mind, our Arc service for Biopharma is designed to specifically address these pain points, offering a tailored solution that integrates seamlessly with your data and workflows. By leveraging Arc, organizations can benefit from the advanced capabilities of LLMs while mitigating the associated risks and downsides.
Streamline Operations, Enhance Compliance, and Improve Patient Care
ARC™ for Clinical Trials and Medical Affairs
ARC™ empowers your Medical Affairs teams to optimize workflows, ensure regulatory compliance, and deliver better patient outcomes with features designed for:
Document Management with AI-Powered Language Models
ARC™ for Documents
Managing regulatory submissions, supply chain documentation, operating procedures, and manufacturing contracts in the biopharmaceutical industry are complex and time-consuming. ARC™’s LLMs-based framework streamlines these processes, enhancing efficiency, accuracy, and compliance.