The authors describe a family's adaptive challenges and adaptive work during a family member's treatment for Chronic Hepatitis C. We audiorecorded index and final clinical visits and interviewed participants (patients and providers) following the visits. We interviewed by telephone and reviewed medical records over the course of treatment. Transcripts were analyzed using directed content analysis. Three themes were identified: family adaptive challenges, patient-described aspects of family members' adaptive challenges, and family adaptive work. There were four subthemes related to family adaptive work. The adaptive leadership framework for chronic illness provided direction for future family intervention.
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http://dx.doi.org/10.1177/08943184211031602 | DOI Listing |
Elife
January 2025
Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, United States.
Single-nucleus RNA sequencing (snRNA-seq), an alternative to single-cell RNA sequencing (scRNA-seq), encounters technical challenges in obtaining high-quality nuclei and RNA, persistently hindering its applications. Here, we present a robust technique for isolating nuclei across various tissue types, remarkably enhancing snRNA-seq data quality. Employing this approach, we comprehensively characterize the depot-dependent cellular dynamics of various cell types underlying mouse adipose tissue remodeling during obesity.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, Australia.
Artificial Intelligence (AI) based auto-segmentation has demonstrated numerous benefits to clinical radiotherapy workflows. However, the rapidly changing regulatory, research, and market environment presents challenges around selecting and evaluating the most suitable solution. To support the clinical adoption of AI auto-segmentation systems, Selection Criteria recommendations were developed to enable a holistic evaluation of vendors, considering not only raw performance but associated risks uniquely related to the clinical deployment of AI.
View Article and Find Full Text PDFEnviron Manage
January 2025
Graduate Program in Urban Management (PPGTU), Center for Studies in Urban Policies (CE.URB), Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba, Paraná, Brazil.
This study investigates urban river policies, emphasizing the gaps in understanding the interactions between riverine communities and governance systems. Using empirical and theoretical methods, the research applies multivariate analysis and Structural Equation Modeling (SEM) to data from a representative sample of 1740 residents of Curitiba. The study maintains a 95% confidence level with a ±2.
View Article and Find Full Text PDFJ Crohns Colitis
January 2025
Department of Gastroenterology and Hepatology, University Hospitals Leuven, KU Leuven, Leuven, Belgium.
Background And Aims: Treating ulcerative colitis (UC) in patients with prior advanced therapy (AT) exposure may be challenging. We report the efficacy and safety of risankizumab, a monoclonal interleukin 23p19 antibody, in patients with UC and prior inadequate response or intolerance to AT (AT-IR).
Methods: In the 12-week phase 3 INSPIRE induction study, patients were randomized to intravenous risankizumab 1200 mg or placebo.
Immunol Rev
January 2025
Department of Chemistry and Biochemistry and the Harper Cancer Research Institute, University of Notre Dame, Notre Dame, Indiana, USA.
αβ T cell receptor (TCR) recognition of peptide-MHC complexes lies at the core of adaptive immunity, balancing specificity and cross-reactivity to facilitate effective antigen discrimination. Early structural studies established basic frameworks helpful for understanding and contextualizing TCR recognition and features such as peptide specificity and MHC restriction. However, the growing TCR structural database and studies launched from structural work continue to reveal exceptions to common assumptions and simplifications derived from earlier work.
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