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#artificial intelligence Preprint Oct 2026

AtomSearch: Evidence-Grounded Tree Search for Agent Skill Optimization

AtomSearch is introduced, which keeps revision actions local while using subsequent skill states to guide search, and shows how local rule edits can support the exploration of useful revision paths and yield compact skills, with additional offline evaluations used to explore alternative states.

Jiang-Shuai-Chen-Rui-,-Zhang-Rong-,-Wang-Gui-Fang- Tong, Sen Deng, Ming-Pei Peng et al. · 0 citations
Open access Sep 2026

Gradient Boosting Machine-Based Prognostic Model with SurvSHAP Analysis for Predicting Secondary Loss of Response to Infliximab Therapy in Crohn’s Disease

Background Infliximab (IFX), a cornerstone anti-TNF-α therapy for moderate-to-severe Crohn’s disease (CD), is limited by secondary loss of response (SLOR), yet existing prognostic tools lack sufficient accuracy and interpretability. We developed and internally validated an interpretable machine learning (ML) framework...

Yu-Qing Guo, Yi-Ting Wang, Min Gao et al. · 0 citations

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