Dandelion Health: Accelerating Life Sciences Research with Regulated Clinical AI

Dandelion Health is a cutting-edge Clinical AI Marketplace that empowers life sciences organizations, AI developers, and healthcare institutions by combining multimodal real-world data (RWD) with rigorously validated AI algorithms. Designed for precision medicine and personalized care, the platform transforms unstructured clinical data—such as notes, images, and waveforms—into research-ready, regulatory-grade insights, enabling faster, more cost-effective scientific discovery. It supports the entire drug development lifecycle, from early clinical research to post-approval surveillance and indication expansion, with a strong focus on reducing bias through diverse, geographically and demographically representative datasets. The platform is trusted by major U.S. healthcare systems and has already powered impactful studies, including one identifying millions of at-risk patients who may benefit from GLP-1 therapies for cardiovascular prevention. With tools like the AHA AI Assessment Lab and the GLP-1 Data Library, Dandelion Health delivers scalable, ethical, and transparent AI-driven clinical intelligence.

Key Features:

• Multimodal Real-World Data (RWD) Integration: Aggregates clinical notes, imaging, waveforms, pathology, and videos from millions of patient records.
• Validated AI Algorithms: Uses high-fidelity, rigorously vetted AI tools to interpret and structure unstructured data.
• Regulatory-Grade Data Sets: Ensures compliance with FDA submission standards through detailed documentation and audit trails.
• Diverse, Representative Datasets: Curated from multi-site healthcare systems to minimize bias across demographics, geographies, and technologies.
• Clinical AI Marketplace: A platform for AI developers to validate, distribute, and commercialize their algorithms.
• AHA AI Assessment Lab: A dedicated service for evaluating AI performance and bias in clinical settings.
• GLP-1 Data Library: The first multimodal dataset focused on GLP-1 therapies and cardiometabolic health, with over 510,000 patient records.
• Longitudinal Data Coverage: Data spans back to 2016, enabling time-based analysis of disease progression and treatment outcomes.
• No AI Expertise Required: Researchers can access structured, ready-to-use datasets without needing deep technical knowledge.
• Use Cases Across Drug Lifecycle: Supports natural history studies, protocol design, patient finder, comparative effectiveness research, HEOR & market access, and post-marketing surveillance.
• Ethical & Transparent Data Use: Ensures data provenance and compliance with privacy regulations, including GDPR and U.S. state laws.
• Accelerated Research: Enables studies in weeks instead of years by leveraging AI to analyze large-scale real-world data.
• Support for Multiple Therapeutic Areas: Focuses on cardiometabolic, cardiology, metabolic, liver, respiratory, immunology, and more.

Pricing: Dandelion Health offers a freemium model with free access to certain data insights and tools, while advanced features, full dataset access, and commercial-grade analytics are available through subscription plans tailored to enterprise and research needs.

Conclusion: Dandelion Health is a transformative force in clinical AI, combining real-world data with trusted validation to drive faster, fairer, and more scalable life sciences innovation—making it an essential tool for modern drug development and precision medicine.