StellarCube measures what cannot be seen.
A clinical decision support solution for pain prediction, PainCube.
JOINT RESEARCH
Joint research partners
PainCube is being developed through joint research with Johns Hopkins Medicine and Korea University Anam Hospital.
Data collection covers 32 beds at Johns Hopkins Medicine and 24 beds at Korea University Anam Hospital, spanning more than 12 types of biosignal and medical-record data.
Data collection32 beds
SungMin ChoMHS
Principal investigator, PainCube joint research
Data collection24 beds
Hee Jung KimPh.D.
Principal investigator, PainCube joint research
PainCube Milestones
From Research to Global Expansion
Building on research, development and clinical collaboration, PainCube carries national R&D and global expansion forward to set a new standard for the future of pain management.
2025
Global expansionHudson County Chamber of Commerce
Participated in K-Bio NJ Summit 2025
- Joint research
Johns Hopkins Medicine
IRB approval completed
- Joint research
Korea University Medicine Industry–Academic Cooperation Foundation
Joint research and development contract completed
2026
MOUKorea University College of Medicine
MOU signed
Johns Hopkins Medicine
MOU signed
- Joint research
Korea University Anam Hospital
IRB approval completed
Johns Hopkins Medicine
Joint research and development contract completed
- Global expansion
Established StellarCube USA, a US subsidiary
- National R&D · Global expansion
Korea Technology and Information Promotion Agency for SMEs (TIPA)
2026 TIPA Global Collaborative R&D Program (pre-planning) — developing a multimodal biosignal-based pain prediction and clinical decision support system
Seoul Business Agency (SBA)
Selected for the Seoul Startup Boston Biohealth Global Expansion Program 2026
- Global expansion
KSEA
Attended IES at UKC 2026
KSEA
Reached the finals of the Start-up Pitch Competition
OUR GROWTH PATH
From data to AI, from AI to Healthcare
- DATA
- EXPERIENCE
- AI
- HEALTHCARE
We began with the work of turning scattered data into structured information, proved it across industries, moved on to AI analysis and prediction, and extended it into technology for human health.