Author

Ling Li

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Preprint Aug 2026

ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling

This study proposes ATHENA (Agentic Transfer across Hospitals for EHR Neural Architecture Search), a knowledge-guided agentic NAS framework for Transformer-based EHR modeling that provides a practical approach for reducing manual architecture tuning in Transformer-based EHR modeling.

De-Yi Li, Qi Xu, Ling-Yao Li et al. · 0 citations

#artificial intelligence Preprint Jun 2026

Teaching agentic AI to learn expert reasoning for rare disease diagnosis

Rare disease diagnosis depends on expert reasoning that is scarce and difficult to transfer; off-the-shelf large language models (LLMs) rank the correct disease first in only 35.4% of benchmark cases. Here we show that this expert reasoning can be converted into a scalable AI capability through a governed learning proc...

Minh-Ha Nguyen, Erica Gray, B. Schuler et al. · 0 citations