Yu Yin
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As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.Articles
Toward federated large language models in medicine: a parameter-efficient framework for privacy-preserving, multi-institutional adaptation
Abstract Large language models (LLMs) are increasingly adapted for medical applications, but most are trained using data from a single institution because privacy and governance constraints prevent multi-institutional data sharing. As a result, these models often generalize poorly across heterogeneous healthcare systems. We address this gap by introducing Fed-MedLoRA and Fed-MedLoRA + , a parameter-efficient federated framework for collaborative LLM adaptation across healthcare institutions.
Association of the DTI-ALPS Index with Sleep Disturbances and Intestinal Inflammation in Crohn’s Disease: A Diffusion Tensor MRI Study
Key Words Crohn’s disease Diffusion tensor imaging analysis along the perivascular space Glymphatic system Inflammation Sleep quality Get full text access Log in, subscribe or purchase for full access. Data Availability The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request. References 1. Dolinger, M. ∙ Torres, J. ∙ Vermeire, S. Crohn's disease Lancet. 2024; 403(10432):1177-1191 2. Sofia, M.A. ∙ Lipowska, A.M. ∙ Zmeter, N. ...
Machine learning for predicting 365-day mortality in spontaneous intracerebral hemorrhage patients in the intensive care unit
Abstract SICH is associated with high rates of disability and mortality. This study aims to develop a predictive model to assess the 365-day mortality rate of patients with SICH. We conducted a retrospective study and identified patients with SICH from the MIMIC-IV database (n = 2069). Baseline variables were screened to identify potential predictors using three methods: univariate analysis, least absolute shrinkage and LASSO regression, and the Boruta algorithm.
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