Description
Stratify360:
Global Contextualization for Precision Subtyping
Stratify360 places user-provided omic and clinical data into a global reference framework built from pre-analyzed datasets across multiple disease conditions and scientific databases. By matching expression profiles or differentially expressed features to global patterns, we enable optimal stratification and subtyping of samples.
This global alignment unlocks clinical actionability:
- Identify demographic-specific trends (e.g., older males with comorbidities showing similar patterns to input).
- Pinpoint drugs effective for the detected subtype.
- Predict survival odds and risk profiles.
- Discover cross-disease similarities to port actionable strategies from other conditions, suggesting novel interventions.
Stratify360 transforms isolated data into context-aware insights, bridging the gap between molecular patterns and real-world clinical decisions.
