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Large language models vs human for classifying clinical documents.

Int J Med Inform

January 2025

College of Science and Engineering, James Cook University, Townsville, 4811, QLD, Australia. Electronic address:

Background: Accurate classification of medical records is crucial for clinical documentation, particularly when using the 10th revision of the International Classification of Diseases (ICD-10) coding system. The use of machine learning algorithms and Systematized Nomenclature of Medicine (SNOMED) mapping has shown promise in performing these classifications. However, challenges remain, particularly in reducing false negatives, where certain diagnoses are not correctly identified by either approach.

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Existing genetic classification systems for porcine reproductive and respiratory syndrome virus type 2 (PRRSV-2), such as restriction fragment length polymorphisms and sub-lineages, are unreliable indicators of close genetic relatedness or lack sufficient resolution for epidemiological monitoring routinely conducted by veterinarians. Here, we outline a fine-scale classification system for PRRSV-2 genetic variants in the United States. Based on >25,000 U.

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Proposal of (Wang . 2015) comb. nov. by transferring the species to the genus .

Int J Syst Evol Microbiol

January 2025

Department of Veterinary Medicine, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan, ROC.

The authors of a recent study in this journal in which the union of the genera and was proposed wrongfully indicated the correct generic name that should be used. According to Rule 24b(4) of the International Code of Nomenclature of Prokaryotes, Geng . 2015 has priority over Wang .

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Reclassification of Salisediminibacterium haloalkalitolerans Sultanpuram et al. 2015 as a Later Heterotypic Synonym of Salisediminibacterium halotolerans Jiang et al. 2012.

Curr Microbiol

January 2025

Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education of Guizhou & School of Basic Medical Science & Institution of One Health Research, Guizhou Medical University, Guiyang, 561113, People's Republic of China.

In the present study, the taxonomic position of Salisediminibacterium haloalkalitolerans was evaluated by determining the 16S rRNA gene sequence similarity, genome relatedness, and phylogenetic analyses. The 16S rRNA gene sequences extracted from the genomes of Salisediminibacterium haloalkalitolerans 10nlg and Salisediminibacterium halotolerans DSM 26530 showed 100% similarity, supporting their classification as the same species. The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between S.

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Cancer is a complex disease with heterogeneous mutational and gene expression patterns. Subgroups of patients who share a phenotype might share a specific genetic architecture including protein-protein interactions (PPIs). We developed the Atlas of Protein-Protein Interactions in Cancer (APPIC), an interactive webtool that provides PPI subnetworks of 10 cancer types and their subtypes shared by cohorts of patients.

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