Sinequa Helps Accelerate Drug Development and Clinical Research with AI-Powered Scientific Search.

Combining the capabilities of Sinequa Neural Search – multiple deep learning and large language models for natural language understanding (NLU) – with the latest ChatGPT models through Azure OpenAI Service, Sinequa enables accurate, fast, traceable semantic search, insight generation, and summarization. Users can query and converse with a secure corpus of data, including proprietary life science systems, enterprise collaboration systems, and external data sources, to answer complex and nuanced questions. Comprehensive search results with best-in-class relevance and the ability to generate concise summaries enhance R&D intelligence, optimize clinical trials, and streamline regulatory workflows.

“The ability to harness AI for scientific and clinical trial data search creates tremendous opportunities for life sciences to radically improve the speed, scale, and efficacy of clinical research and drug development,” said Clifford Cantrell, Vice President, Global Life Science Practice Lead & Customer Success, Sinequa. “Building on more than 20 years of expertise in natural language processing and as one of the first providers to apply AI to enterprise search, Sinequa continues its legacy of proven innovation by bringing generative AI capabilities to clinical research and drug development.”

Today, more than half of the world’s leading pharmaceutical companies, including Astellas, AstraZeneca, Pfizer, Takeda, UCB, trust Sinequa to help teams discover insights and surface the information necessary to bring safe, life-changing therapies to market more quickly and with greater confidence.

Sinequa Featured Sessions at Bio-IT World 2023

Sinequa joins the conference this year as a Platinum Sponsor with multiple speaking sessions on May 17th at 11:55 am:

How Large Language Models Will Change How We Do… Well, just about Everything
Wednesday, May 17, 11:55 am ET / Track: Pharmaceutical R&D Informatics

Co-presenting with John Chan, Head, ShinrAI Center for Artificial Intelligence and Machine Learning, Takeda
Hear how Takeda is putting generative large language models (LLMs) to use with Sinequa’s Neural Search across the development lifecycle, from initial drug discovery to regulatory submissions.

Finding Clinical Data & Information
Wed May 17, 11:55 am ET / Track: Digitation of Clinical Development and Clinical Trials

Presented by Clifford Cantrell, Vice President, Global Life Science Practice Lead & Customer Success, Sinequa
Sinequa's AI-Powered Search is the gold standard find-and-discover technology in the life sciences industry. In this presentation, we will zoom in on clinical data and information and examine how top-performing pharmaceutical firms achieve clinical excellence by optimizing data and information accessibility to inform clinical design, planning, and decision-making.

BioIT World attendees can also visit booth #803 to learn about the latest updates to Sinequa Search Cloud for Life Sciences or schedule a private demo tailored to your specific use case here – https://www.sinequa.com/events/bio-it-world-conference-2023/

To learn more about Sinequa’s solutions for Life Sciences, please visit: https://www.sinequa.com/enterprise-search-for-industries/healthcare-life-science/

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