cross-system-analyst

What problem does it solve?

This Skill helps clinicians and researchers identify how findings across different body systems relate, enabling discovery of cross-system connections and potential root causes from complex medical data.

Core Features & Use Cases

• Cross-system connections: Link findings from hematologic, metabolic, endocrine, and immune domains to reveal hidden relationships.
• Root-cause hypotheses: Propose plausible underlying mechanisms that explain multiple concurrent findings.
• Mechanistic pathways: Map biological processes connecting disparate observations.
• Use Case: Given data showing Low Copper (605) and Low Neutrophils (1.2) with High Homocysteine (19.24) and Low B12/Folate function, generate testable hypotheses about malabsorption or nutritional deficiency driving cytopenias and methylation disruption.

Quick Start

Run cross-system-analyst on the provided medical findings to generate cross-system relationships and testable hypotheses.