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A new AI framework turns routine retinal imaging into a powerful noninvasive window for simultaneous detection of multiple metabolic and endocrine disorders.
The system combines quality-aware modules with frozen foundation models to deliver accurate, interpretable predictions from standard eye scans in under 30 seconds.
A new agentic framework called SPARK uses language as a universal interface to autonomously generate biologically meaningful hypotheses and convert them into analytical tools directly from routine H&E pathology slides.
No hand-crafted features or task-specific retraining are required. The multi-agent system handles the full pipeline:
