An advanced interactive visualization platform that leverages machine learning to identify patterns and relationships in medication side effects, helping researchers make more informed decisions.
SideEffectViz combines advanced data visualization with machine learning to provide pharmaceutical researchers with powerful analytical capabilities.
Explore complex relationships between medications and their side effects through intuitive, interactive network graphs that reveal hidden patterns.
Analyze actual FDA Adverse Event Reporting System data to gain insights based on real-world patient experiences and clinical observations.
Utilize advanced clustering algorithms to automatically group medications with similar side effect profiles, revealing unexpected connections.
Explore medication similarities in reduced dimensional space using Principal Component Analysis, making complex relationships more interpretable.
Publications
Labs