The Impact of Temperature on Extracting Information From Clinical Trial Publications Using Large Language Models.

Introduction The application of natural language processing (NLP) for extracting data from biomedical research has gained momentum with the advent of large language models (LLMs). However, the effect of different LLM parameters, such as temperature settings, on biomedical text mining remains underexplored and a consensus on what settings can be considered "safe" is missing. This study evaluates the impact of temperature settings on LLM performance for a named entity recognition and a classification task in clinical trial publications.

Electric Field Distribution in Bipolar Electrochemical Cells: Effects on the Wirefree Electrodeposition of Conducting Polymer Films.

Wirefree, or bipolar electrochemistry, is advancing key fields, including (nano)materials, human health, and energy. Central to these applications is an understanding of the potential distribution induced in the bipolar electrode, BPE. Here, the impact of the electric field distribution is reported for the wirefree deposition of the conducting polymer, poly(3,4-ethylenedioxythiophene), PEDOT, in the absence of deliberately added electrolytes.

The association between antimicrobial resistance mutations and treatment outcomes for infections from 2018 to 2022: a cross-sectional study from Auckland, New Zealand.

Background New Zealand has among the highest rates of antimicrobial resistance in Mycoplasma genitalium in the world. The aim of this study was to correlate treatment outcomes with 23S rRNA and parC mutations associated with macrolide and fluroquinolone resistance, respectively, in a cohort of sexual health clinic patients. Methods Laboratory and clinical data were collected for patients with M.

Community-level variability in Bronx COVID-19 hospitalizations associated with differing population immunity during the second year of the pandemic.

The Bronx, New York, exhibited unique peaks in the number of coronavirus disease 2019 (COVID-19) cases and hospitalizations compared to national trends. To determine which features of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus might underpin this local disease epidemiology, we conducted a comprehensive analysis of the genomic epidemiology of the four dominant strains of SARS-CoV-2 (Alpha, Iota, Delta, and Omicron) responsible for COVID-19 cases in the Bronx between March 2020 and January 2023. Genomic analysis revealed similar viral fitness for Alpha and Iota variants in the Bronx despite nationwide data showing higher cases of Alpha.

Metastatic Versus Localized Disease as Inclusion Criteria That Can Be Automatically Extracted From Randomized Controlled Trials Using Natural Language Processing.

Purpose: Extracting inclusion and exclusion criteria in a structured, automated fashion remains a challenge to developing better search functionalities or automating systematic reviews of randomized controlled trials in oncology. The question "Did this trial enroll patients with localized disease, metastatic disease, or both?" could be used to narrow down the number of potentially relevant trials when conducting a search.

Methods: Six hundred trials from high-impact medical journals were classified depending on whether they allowed for the inclusion of patients with localized and/or metastatic disease.