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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.
PLoS One
January 2025
Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, Ad Diriyah, Riyadh, Kingdom of Saudi Arabia.
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent advancements in machine learning offer potential solutions. Traditional prediction models, often limited by default parameters, have been superseded by more sophisticated approaches.
View Article and Find Full Text PDFMucosal vaccination against SARS-CoV-2 using recombinant influenza viruses delivering self-assembling nanoparticles.
Vaccine
February 2025
Department of Microbiology and Immunology, University of Melbourne, at The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia. Electronic address:
Recombinant influenza viruses are promising vectors that can bolster antibody and resident lymphocyte responses within mucosal sites. This study evaluates recombinant influenza viruses with SARS-CoV-2 RBD genes in eliciting mucosal and systemic responses. Using reverse genetics, we generated replication-competent recombinant influenza viruses carrying heterologous RBD genes in monomeric, trimeric, or ferritin-based nanoparticle forms.
View Article and Find Full Text PDFCombination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer.
J Imaging Inform Med
December 2024
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.
Prostate cancer is one of the most prevalent male-specific diseases, where early and accurate diagnosis is essential for effective treatment and preventing disease progression. Assessing disease severity involves analyzing histological tissue samples, which are graded from 1 (healthy) to 5 (severely malignant) based on pathological features. However, traditional manual grading is labor-intensive and prone to variability.
View Article and Find Full Text PDFAttitudes and Experiences Regarding Communication About Maternal Vaccination: Qualitative Findings from Non-Hispanic Black Pregnant People.
J Womens Health (Larchmt)
January 2025
Immunization Services Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Comprehensive prenatal care incorporates recommended vaccines to help protect the mother, the pregnancy, and the infant from adverse health outcomes and severe illness from vaccine preventable diseases (VPDs). However, vaccinations during pregnancy remain underutilized, often influenced by concerns about vaccine safety and low perception of disease risk. Self-reported vaccine hesitancy among pregnant people in the United States has significantly increased in the last few years, and influenza and Tdap (tetanus, diphtheria, and pertussis) vaccination rates have declined.
View Article and Find Full Text PDFTranscription regulation by biomolecular condensates.
Nat Rev Mol Cell Biol
November 2024
Laboratory of Nuclear Organization, Cecil H. and Ida Green Center for Reproductive Biology Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Biomolecular condensates regulate transcription by dynamically compartmentalizing the transcription machinery. Classic models of transcription regulation focus on the recruitment and regulation of RNA polymerase II by the formation of complexes at the 1-10 nm length scale, which are driven by structured and stoichiometric interactions. These complexes are further organized into condensates at the 100-1,000 nm length scale, which are driven by dynamic multivalent interactions often involving domain-ligand pairs or intrinsically disordered regions.
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