South KoreaHealthcare and life sciences2024 – ongoingSeegene
Azure OpenAI and AI agents for diagnostic R&D
Seegene uses Azure AI in R&D; product planning drops from four experts for a month to one person in a day
Problem
The PCR diagnostics maker earns about 90% of revenue overseas and needs faster research and genomic analysis. Planning one diagnostic product took four experts a month.
Approach
Seegene uses Azure OpenAI to summarize papers and web content, Azure AI Search for retrieval, Document Intelligence for PDFs and custom AI agents. It ran a Microsoft Fabric proof of concept in 2024 and uses Azure HPC for gene sequence analysis.
Results
Takeaway
Seegene reported less work in diagnostic product planning after introducing AI. Seegene had not yet reported achieving the expected gains in analysis time.
Categories
- Industry
- Healthcare and life sciences
- Business function
- IT and R&D
- Innovation type
- Process innovation
- AI technology
- Generative AIAI agents
- Adoption
- Vendor solution
- Evidence
- Vendor's case study
Sources
Source summaries
Microsoft describes the Azure services Seegene uses in R&D and reports a 75% reduction in product planning workload. The expected 20-fold reduction in analysis time remained a target. Seegene ran a Fabric proof of concept in 2024.
Full details are in the original sources.
