Antimicrobial therapy is becoming less effective because of the rising microbial resistance. Surgical site infections (SSI) are one of the major complications that require modifications in the infection control policy for effective management. To develop a model for predicting the readmission rates post-SSI treatment and to identify prevalent microbial isolates and the respective trends in resistance patterns.
View Article and Find Full Text PDFNext-generation T-cell-directed vaccines for COVID-19 focus on establishing lasting T-cell immunity against current and emerging SARS-CoV-2 variants. Precise identification of conserved T-cell epitopes is critical for designing effective vaccines. Here we introduce a comprehensive computational framework incorporating a machine learning algorithm-MHCvalidator-to enhance mass spectrometry-based immunopeptidomics sensitivity.
View Article and Find Full Text PDFPhenotyping and genotyping initiatives within the Integrated Islet Distribution Program (IIDP), the largest source of human islets for research in the U.S., provide standardized assessment of islet preparations distributed to researchers, enabling the integration of multiple data types.
View Article and Find Full Text PDFBackground: Anecdotally, the concept of death consistently evokes profound unease. This study explores the intricate relationship between individuals' attitudes toward death and the associated anxiety, introducing a two-step model that posits dispositional mindfulness and tranquil ego as mediators.
Materials And Methods: We used a correlational design in this study and assessed 209 Indian adults (111 males and 98 females) who recovered from corona symptoms on self-report measures of attitudes toward death, death anxiety, dispositional mindfulness, and tranquil ego.