Pathology-Based Reasoning

SPARK differs from conventional computational pathology systems because it does not rely on predetermined analytical pathways. SPARK can reproduce pathology-based reasoning used by pathologists when analyzing tissue samples and cancer cells. SPARK can reproduce and extend inferential processes used by pathologists when analyzing tissue samples and cancer cells. The agentic approach enables AI systems to independently conduct reasoning and analyze pathological data. SPARK independently conducts reasoning as part of an agentic approach to pathology research. SPARK generates biological hypotheses from pathological observations and patterns.