iLENS is an LLM-guided mixture-of-experts framework for survival prediction in Alzheimer's disease conversion. Proposed by Farica Zhuang, the framework synthesizes structured neuroimaging measurements and unstructured information to guide expert routing. iLENS demonstrates competitive predictive performance and patient subtyping capability while providing "transparent, biologically grounded rationales" for its routing decisions, addressing the limited interpretability of typical static survival models used in AD risk prediction.
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