Market Context — Why This Technology, Why Now

The global healthcare and life sciences sectors are experiencing an explosion in genomic data, driving innovation in personalized medicine and drug discovery. However, this data also represents a significant privacy and compliance liability. Companies face intense pressure to protect sensitive patient information while simultaneously extracting value for research. This technology addresses this dual challenge, offering a competitive edge to organizations that can securely and compliantly manage and share genomic data, fostering trust and accelerating breakthroughs.

Key Competitive Advantages
01

Significantly Reduces Data Leakage Risk: Automatically removes non-outputtable sections from genome data based on destination, safely providing only necessary information and potentially reducing confidential data leakage risk by ~90%.

02

Ensures Regulatory Compliance and Boosts Trust: Supports compliance with stringent data privacy regulations (e.g., GDPR), enhancing the social trust of companies and research institutions utilizing genome data.

03

Accelerates Genome Data Utilization: Eliminates the effort of anonymization/pseudonymization, providing a secure data sharing platform that could accelerate R&D and medical application speed by 20%.

Market Opportunity
Genomic Medicine and Research
$300M–$400M globally (AI est.)
The advancement of precision medicine and personalized treatments is driving a rapid increase in demand for genome data analysis. A secure data sharing infrastructure is essential, and this technology addresses that critical need.
Precision medicine developers Academic research institutions Biotech startups
Healthcare Providers and Pharmaceuticals
$500M–$600M globally (AI est.)
The utilization of genome data in new drug development and clinical research is accelerating. Data privacy protection is directly linked to corporate credibility, making adoption of this technology a high priority.
Major hospital networks Pharmaceutical R&D divisions Clinical trial organizations
Bioinformatics Services
$400M–$500M globally (AI est.)
For genome analysis service providers, strict management of customer data and robust security measures are vital for business continuity. This technology contributes to strengthening their competitive position.
Genome sequencing service providers Data analytics platforms Cloud-based bioinformatics solutions
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a personal information protection system specifically for genome data, characterized by filtering genome data based on roles associated with data request signals. Its robustness is evidenced by successfully clearing two office actions and distinguishing itself from six prior art documents, indicating a strong, difficult-to-invalidate right.

Competitive White Space

This patent focuses on role-based data filtering for privacy. White space exists in advanced cryptographic techniques for homomorphic encryption or secure multi-party computation, as well as blockchain-based immutable audit trails for data access beyond just filtering.

Economic Impact
~$200K/year estimated loss avoidance and cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Reducing potential liability from genome data breaches (estimated at ~$665K (AI est.) per incident) by 25% could avoid ~$165K (AI est.) in losses. Additionally, automating ~30% of annual personnel costs for data anonymization and management (assuming 1 staff member at ~$53K/year (AI est.)) could save ~$16K/year (AI est.).

Speed to Market
6× faster than in-house development
This technology benefits from established genome data protection algorithms and detailed patent knowledge regarding filtering logic implementation. This significantly reduces the development effort for licensees. Easy integration into existing systems could shorten development time by approximately 30 months, enabling faster market entry and first-mover advantage.
Competitive Positioning

X: Data Security Level
Y: Data Utilization Flexibility

Business Models & Applications
🔐 SaaS Data Protection Platform
A subscription-based service where licensees can securely manage their genome data in the cloud and provide filtered data to users.
🤝 Licensing Model
Providing this technology's software libraries or modules to medical device manufacturers and pharmaceutical companies for integration into their products or systems.
🌐 Data Brokerage & Matching
Developing a business as a data broker, securely connecting research institutions requiring anonymized and filtered genome data with data providers.
Adjacent Application Opportunities
💳 Finance & Insurance
Enhanced Fraud Detection with Sensitive Data
This technology could filter sensitive customer data, such as credit card or asset information, based on roles, enabling secure integration with fraud detection systems. This could reduce information leakage risks while improving analysis accuracy by an estimated 15-20%.
🤖 AI Development & Machine Learning
Privacy-Preserving Learning Data Anonymization
For AI model training, this system could filter personal data to retain only information essential for specific purposes (e.g., facial or voice recognition). This has the potential to enable high-precision AI development while ensuring privacy compliance, potentially accelerating data preparation by 20%.
⚙️ Manufacturing & Supply Chain
Secure Sharing of Confidential Design Data
When sharing confidential information like component designs or manufacturing process data with suppliers, this technology could strictly control access based on roles. This could prevent information leaks, enable efficient collaboration, and enhance overall supply chain security by an estimated 25%.
Integration Roadmap — Estimated 12-Month Deployment
Requirements Definition & System Design
Duration: 3 months
Define integration requirements with the licensee's existing systems and customize the filtering logic design for this technology.
Prototype Development & Testing
Duration: 6 months
Develop a prototype based on the design. Conduct rigorous testing of filtering accuracy and security functions using actual genome data.
Production Deployment & Optimization
Duration: 3 months
After final adjustments based on test results, deploy to the production environment. Optimize operations through continuous monitoring and feedback to ensure stable performance.
Technical Feasibility
This technology features a modular architecture comprising a data storage unit, role storage unit, filter unit, and data output unit, allowing for easy integration into existing genome data management systems or databases via API linkage or module embedding. The patented configuration, which enables communication over a network, facilitates flexible system integration and rapid deployment without significant capital investment.
Success Scenario
Upon adopting this technology, healthcare providers could securely manage patient genome data and automate the process of providing it to research institutions. This may reduce lead times for data provision approvals by 30%, fostering collaborative research and accelerating new drug development. Furthermore, compliance costs could be reduced by an estimated 20% annually.
Patent Record
APPLICATION NO.
特願2021-118556
REGISTRATION NO.
7649543
FILING DATE
2021/07/19
GRANT DATE
2025/03/12
EXPIRATION DATE
2041/07/19
PATENT HOLDER
国立研究開発法人情報通信研究機構
Examination History
2024年06月24日
出願審査請求書
2024年09月17日
拒絶理由通知書
2024年11月15日
意見書
2024年11月15日
手続補正書（自発・内容）
2024年12月10日
拒絶理由通知書
2025年02月05日
意見書
2025年02月05日
手続補正書（自発・内容）
2025年02月18日
特許査定