Geneial provides unified healthcare data infrastructure that automates data standardization and streamlines patient engagement workflows for research. The platform uses intelligent automation to convert disparate medical data into innovation-ready formats for diagnostics and therapeutic development. This results in significantly higher participation rates and accelerates the delivery of clean, structured data to researchers.
Funding
Funding not disclosed
NLFounders
Product
Problem
Rare disease research is hindered by limited access to genetic data, fragmented biobanks, and challenges in ensuring data security and patient privacy. The lack of comprehensive data tools and streamlined data capture processes further impedes the progress of research and the development of therapies for rare diseases, most of which have a genetic basis.
Solution
Geneial is developing a decentralized network of genomic biobanks designed to connect researchers with biobanks, thereby enhancing the availability of genetic data for rare disease research. The platform facilitates streamlined data capture and offers customizable tools for in-depth genetic analysis, accelerating research from concept to discovery. Geneial prioritizes data security and patient privacy through flexible, patient-centric consent processes and secure data-sharing protocols. By providing comprehensive phenotyping and integrating broader health metrics, Geneial aims to advance a holistic understanding of genetic factors in rare diseases.
Target Audience
The primary audience includes researchers studying rare diseases, biobanks seeking to expand their reach, and patients willing to share their genetic information for research purposes.
Features
- Decentralized network connecting researchers and biobanks for enhanced data accessibility.
- Streamlined data capture processes to facilitate efficient research workflows.
- Customizable tools for in-depth genetic analysis.
- Comprehensive phenotyping capabilities for detailed patient profiles.
- Integration of broader health metrics to advance research.
- Flexible, patient-centric consent processes.
- Secure data-sharing protocols to ensure data privacy and security.