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Open access Oct 2026

Multiplexed Aptamer-Based Proteomic Data Normalization (Adaptive Normalization by Maximum Likelihood) Significantly Influences Results in Critically Ill Patients.

BACKGROUND Blood-based proteomics are employed in cohorts of patients with critical illness to provide biologic insights and improve diagnosis and risk stratification. Somalogic developed a multiplex aptamer-based platform (Somascan) with thousands of proteins assayed in a single plasma sample. Results are reported in...

I. Stanaway, N. Sathe, F. Mabrey et al. · 0 citations
#machine learning Preprint Jun 2026

Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes

This work presents a novel approach to EF prediction that leverages features classified in free-text respiratory therapy notes using a large language model and logistic regression pipeline and identifies clinically meaningful EF-related features that improve EF prediction performance when included alongside structured...

I. Chaiken, Aditya Khowal, N. Sathe et al. · 0 citations

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