Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54621, first published .
Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Journals

  1. Ma X, Mai Y, Ma Y, Ma X. Constructing an early warning model for elderly sepsis patients based on machine learning. Scientific Reports 2025;15(1) View
  2. Du K, Xiong H, Zhang X, Luo R, Zhou B. Bioinformatics analysis to identify environmental endocrine chemicals that target endometriosis genes. Ecotoxicology and Environmental Safety 2025;295:118136 View