Medtech & AI Development
Lynx.MD provides quick access to rich real-world data to accelerate AI application development
AI is rapidly changing the capabilities and impact of the medtech industry to provide quicker access to solutions that improve healthcare operations and patient experience. Lynx provides immediate access to essential real-world data to train accurate AI models and accelerate development.
Anonymized, diverse datasets
Lynx includes millions of unstructured and structured datasets—X-rays, physicians’ notes, prescriptions, hospital records and more—all available for research and development.
AI model development
Train, test and validate AI models using real-world datasets including natural language processing of clinical texts, computer vision models for medical imaging and even videos.
Accelerate life-changing solutions
Access to secure, anonymized data enables medtech companies to accelerate the development of life-changing solutions through testing and validation of AI models.
Lynx’s secure data network, library and medical intelligence platform provides medtech companies with instant access to a diverse range of rich, real-world data while adhering to the strictest global privacy, security and compliance regulations. This rich data repository provides insights to help AI developers and medical technology companies design and test the effectiveness of new solutions.
Access otherwise inaccessible real-world data
Examine market size and cost of standard treatments
Analyze how to price and position products post-approval
Security and privacy
Data is encrypted end-to-end and multi-factor-authentication (MFA) ensures compliance
Patient data is protected to GDPR and HIPAA standards
Privacy Firewall, de-identification methods and differential privacy enable the use of raw, original data to develop AI/ML models
Analyze and integrate live data feeds
Enable quick in-depth exploration, analysis, and modeling
Set up operational dashboards from an easy-to-use interface
Multiple users can work with the same data, on the same study
Easy sharing of results and code between teams and groups
Visualization of data and results for validation