Publications by authors named "J Tessier"
Complicated intra-abdominal infections (cIAIs) require a combined tactic, of source control and antimicrobial therapy. This study aimed to evaluate the safety and efficacy of oral step-down antimicrobial therapy in cIAIs after initial intravenous (IV) antimicrobial therapy. This retrospective cohort study included hospitalized adult patients diagnosed with a cIAI who received more than seven days of IV therapy from March 2017 to October 2021.
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- - The discovery of biomarkers for drug development is constrained by limited tissue samples from core needle biopsies, which can hinder the analysis of tissue heterogeneity and cell interactions due to standard 'omics platforms consuming large amounts of tissue.
- - Current spatial transcriptomics technologies have low throughput and limited transcriptome coverage, while the Digital Spatial Profiling (DSP) method allows for scalable analysis of the entire transcriptome and high-plex protein analysis from a single tissue slide.
- - The DSP Scientific Consortium has established best practices to enhance the use of spatial biology tools in drug discovery, aiming to optimize tissue analysis across various research fields to better understand disease biology and discover potential therapeutic targets.
Article Synopsis
- The Surgical Infection Society (SIS) has updated its evidence-based guidelines for managing intra-abdominal infections (IAI) after a systematic review of literature from 2016 to February 2024.
- This update includes new recommendations and revisions based on rigorous evaluations of evidence using the GRADE system, which ranks the strength and quality of recommendations.
- Key topics covered involve antimicrobial agent selection, treatment timing and methods, pathogen-specific treatments, and the implementation of antimicrobial stewardship programs in hospitals.
Article Synopsis
- * Key management strategies for IAIs involve accurate diagnostics, timely source control, and appropriate use of antibiotics based on pharmacokinetics and stewardship principles.
- * A personalized treatment approach is essential, requiring ongoing assessment of factors like infection extent, potential pathogens, patient health status, and immune response to improve patient outcomes.
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies.
Comput Med Imaging Graph
September 2024
Metastatic brain cancer is a condition characterized by the migration of cancer cells to the brain from extracranial sites. Notably, metastatic brain tumors surpass primary brain tumors in prevalence by a significant factor, they exhibit an aggressive growth potential and have the capacity to spread across diverse cerebral locations simultaneously. Magnetic resonance imaging (MRI) scans of individuals afflicted with metastatic brain tumors unveil a wide spectrum of characteristics.
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