Next-gen AI for life sciences: Accelerating clinical operations with BioRAG
Overcoming data silos and regulatory challenges with Domino, OpenAI on Azure, and LangChain
Watch on-demand
Managing vast amounts of clinical data efficiently and securely is a significant challenge. Traditional methods often struggle with data silos, regulatory compliance, and the need for rapid, accurate information retrieval - impeding innovation, slowing down drug development, and increasing costs.
The BioRAG (Retrieval Augmented Generation) solution from BIP Group, coming soon to Domino's AI Hub, addresses these challenges by providing advanced document retrieval and summarization capabilities. This ensures real-time access to critical, accurate information while maintaining compliance with industry regulations. BioRAG can be applied across the value chain, from accelerating drug discovery and clinical trials to streamlining manufacturing, regulatory submissions, and gaining market insights for sales and market access.
Join Domino and experts from BIP group for a session designed for data science leaders and practitioners in the healthcare and life sciences sectors. This session will focus on the innovative BioRAG solution and its implementation via Domino’s AI Hub. We’ll walk you through the solution that uses LangChain to accelerate LLM-powered AI application development, Qdrant as a vector database, Azure OpenAI, and other Azure cloud services - all orchestrated within Domino’s AI Platform.
What You Will Learn:
- Benefits of Generative AI solutions: Discover the transformative potential of generative AI solutions like BioRAG in the life sciences sector. Understand how these technologies can revolutionize data management, enhance decision-making, and drive innovation.
- BioRAG Use Cases: Explore how BioRAG addresses various challenges across the life sciences value chain. Learn how it enhances clinical trials, accelerates drug discovery, streamlines manufacturing processes, navigates regulatory compliance, and provides valuable market insights. See real-world examples of BioRAG in action, improving efficiency and reducing costs.
- Technical Implementation of BioRAG: Understand the architecture and setup of BioRAG within Domino’s AI Hub. Dive into the technical details, including the integration of GPT-4o, LangChain, Qdrant vector database, Azure Blob Storage, and Azure OpenAI Service. Gain insights into how these components work together to deliver a robust and scalable solution.
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Featured Speakers
![Gabriele Oliva Headshot](https://cdn.sanity.io/images/kuana2sp/production-main/c373ba7a7368f2be0b2a09bc71ac91ba327e9418-500x500.jpg?w=450&fit=max&auto=format)
Gabriele Oliva
Head of Data Analytics and AI, BIP
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Gabriele is Head of Data & AI at BIP UK, leading a team of data analysts, data scientists, data architects, and BI experts. His role involves managing and mentoring this diverse team, ensuring the overall quality of delivery while spearheading business development initiatives.
![Ankur Sinha Headshot](https://cdn.sanity.io/images/kuana2sp/production-main/9f0aa46847be885a3929a444c64c2ac2ba303ee3-800x800.jpg?w=450&fit=max&auto=format)
Ankur Sinha
Global Head of Partner Solutions & GTM, Domino
![](https://cdn.sanity.io/images/kuana2sp/production-main/4557a17f6d2b0844e78da58b872896688f019d2b-3154x600.png?w=200&fit=max&auto=format)
As the Head of Global Partner Solutions & GTM at Domino, Ankur is an adept technology leader with diverse experience in go-to-market strategy, consulting, selling, architecting, and implementing solutions for AI/ML, MLOps, digital transformation, cloud transformation, platform & app modernization, platform and app integration. He is proficient at scaling, coaching and mentoring teams to accomplish enterprise vision & goals.