• LAMMI-Pathology introduces a tool-centric, bottom‑up LVLM‑agent framework for pathology image analysis.\n• Customized domain‑adaptive tools cluster by style, forming component agents that avoid long context drift.\n• A top‑level planner coordinates agents hierarchically, ensuring coherent multi‑step reasoning across tasks.\n• Atomic Execution Nodes (AENs) provide reliable, composable units for constructing semi‑simulated reasoning trajectories.\n• Trajectory‑aware fine‑tuning aligns planner decisions with AEN trajectories, boosting inference robustness.\n• The framework supports molecularly validated diagnoses using spatial transcriptomics, enhancing evidence‑driven pathology insights.
Article Summaries:
- LAMMI‑Pathology introduces a scalable, tool‑centric agent framework for pathology image analysis that leverages recent spatial transcriptomics data. The system adopts a bottom‑up architecture: domain‑specific tools are clustered into component agents, which a top‑level planner coordinates hierarchically to avoid long context windows that can cause task drift. A novel Atomic Execution Node (AEN) mechanism constructs reliable, composable reasoning trajectories, enabling semi‑simulated agent‑tool interactions. A trajectory‑aware fine‑tuning strategy aligns the planner’s decisions with these multi‑step paths, improving inference robustness and adaptive use of the customized toolset for molecularly informed medical intelligence.
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