Miso Information Technology Builds AI Medical Data Platform with Yonsei University’s AI Innovation Research Institute
Miso Information Technology Begins Building AI Medical Data Platform with Yonsei University to Accelerate Medical AI Research
Miso Information Technology (CEO Nam Sang-do) announced on the 7th that it has begun building an AI medical data platform in collaboration with Yonsei University and the AI Innovation Research Institute (Director Yoon Dong-seop) to accelerate medical AI research and innovation.
The project aims to establish a stable and efficient research environment by standardizing user accounts, computing resources, and operational procedures, enabling medical AI research to be conducted outside hospital settings. Key components include the establishment of a secure private cloud environment for safe data storage and utilization, the deployment of high-performance GPU servers, and the development of a platform-based system to support large-scale research data analysis and utilization.
By integrating Miso Information Technology’s multimodal data platform SmartBIG, high-performance GPU servers, and the ultra-high-speed DBMS MHDB, the platform significantly improves the speed and accuracy of data utilization. This infrastructure enables researchers to rapidly analyze large-scale medical data—including EMR, imaging, and video data—and to extract required datasets within seconds, even from datasets consisting of billions of records.
The platform also introduces a private cloud and VDI-based research environment, along with a GUI-based workflow designed to balance security and accessibility. This allows researchers, including non-specialists, to search, extract, preprocess, and analyze medical data through an intuitive, click-based interface, thereby improving research productivity and collaboration efficiency.
Yonsei University’s AI Innovation Research Institute is expected to leverage the platform to accelerate a wide range of medical AI research activities, including the development of AI-based diagnostic and prediction models, clinical research, and personalized treatment planning. Yonsei University has established a foundation for AI-driven medical innovation by securing large-scale medical data covering the pre-disease lifecycle, positioning itself to proactively respond to government policies aimed at expanding AI investment and fostering innovation clusters.
“Our multimodal data platform maximizes data accessibility and processing efficiency required for AI model development and validation, while ensuring the safe use of medical data,” said Nam Sang-do, CEO of Miso Information Technology.
“The establishment of this medical data platform is meaningful in that Yonsei University is presenting a new standard for research on medical data utilization,” said Yoon Dong-seop, Director of the AI Innovation Research Institute at Yonsei University. “We will actively support creative and responsible AI research by researchers both within and outside the university through a research environment that ensures both security and openness.”
Meanwhile, Miso Information Technology is developing predictive models for major chronic diseases—including obesity, metabolic liver disease, hypertension, and diabetes—using phenom data from 1.5 million individuals, in collaboration with Samsung Electronics and Gangbuk Samsung Hospital. The company also operates a healthcare data distribution platform that efficiently integrates and manages medical data across hospital systems, helping to improve operational efficiency at medical institutions.
Recently, the company has attracted strong interest from overseas buyers in Switzerland, France, Italy, and Japan. In addition, leveraging Agentic AI technologies, Miso Information Technology has been certified as an “AI Factory Specialized Company” across industries such as manufacturing, construction, automotive, semiconductors, and aerospace. Through solutions for autonomous process control, critical accident prevention, and knowledge assetization, the company continues to strengthen the global competitiveness of K-software.
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