Oops! Something went wrong while submitting the form.
The Clinical Graph is the first multi-scale, quantitative, systems model of human health, built with AI and designed as a platform to power clinical decision support solutions at the point of care
Evidence extracted from the complete corpus of biomedical research, experimental trials, clinical guidelines, and expert-curated databases—ensuring nothing is overlooked
Rigorous AI-enabled pipeline extracts and analyzes findings daily to provide a dynamic view of the science for clinical decision-making
Goes beyond symptom-based insights to uncover multi-system interactions and hidden patterns that drive health and disease
Maps relationships across molecular, physiological, and clinical levels, informing care for complex phenotypes and conditions
Converts fragmented, siloed knowledge into a cohesive, clinically meaningful picture—enabling smarter decision-making
Advanced AI drives discovery, while clinical experts ensure accuracy and relevance in real-world practice
The Clinical Graph is designed to power CDS solutions at the point-of-care through a suite of APIs
Answer clinical questions with a comprehensive and accurate synthesis of the evidence
Surface all of the clinically important data from a patient’s record to better contextualize and personalize clinical decisions
Identify and summarize the highest impact targets for health promotion and early disease prevention
