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http://dx.doi.org/10.1186/s12882-021-02245-w | DOI Listing |
Appl Microbiol Biotechnol
January 2025
NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), National University of Singapore, Kent Ridge, 117456, Singapore.
Detecting alterations in plasmid structures is often performed using conventional molecular biology. However, these methods are laborious and time-consuming for studying the conditions inducing these mutations, which prevent real-time access to cell heterogeneity during bioproduction. In this work, we propose combining both flow cytometry and fluorescence-activated cell sorting, integrated with mechanistic modelling to study conditions that lead to plasmid recombination using a limonene-producing microbial system as a case study.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Ophthalmology, Pennsylvania State University, Hershey, PA, United States of America.
Purpose: To investigate different measures for corneal astigmatism in the context of reconstructed corneal astigmatism (recCP) as required to correct the pseudophakic eye, and to derive prediction models to map measured corneal astigmatism to recCP.
Methods: Retrospective single centre study of 509 eyes of 509 cataract patients with monofocal (MX60P) IOL. Corneal power measured with the IOLMaster 700 keratometry (IOLMK), and Galilei G4 keratometry (GK), total corneal power (TCP2), and Alpin's integrated front (CorT) and total corneal power (CorTTP).
Aesthet Surg J
January 2025
Department of Pediatrics, McMaster University, Hamilton, ON, Canada.
Background: FACE-Q Aesthetics scales assess patient-important outcomes following both surgical/nonsurgical facial cosmetic interventions. Convergent validity is the degree to which the scores of one measurement relate to another measuring a similar construct.
Objectives: This study aims to establish the convergent validity of 11 FACE-Q Aesthetics appearance scales using the MERZ Aesthetics scales.
PLoS One
January 2025
Department of Geriatric Medicine, Aalborg University Hospital, Aalborg, Denmark.
Background: Systematic reviews provide clarity of a bulk of evidence and support the transfer of knowledge from clinical trials to guidelines. Yet, they are time-consuming. Artificial intelligence (AI), like ChatGPT-4o, may streamline processes of data extraction, but its efficacy requires validation.
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