Publications by authors named "J L Dye"
The Ebola virus (EBOV) causes severe disease in humans, and animal models are needed to evaluate the efficacy of vaccines and therapeutics. While non-human primate (NHP) and rodent EBOV infection models have been well characterized, there is a growing need for an intermediate model. Here, we provide the first report of a small-particle aerosol (AE) EBOV ferret model and disease progression compared with the intramuscular (IM) EBOV ferret model.
View Article and Find Full Text PDFArticle Synopsis
- The study evaluated how well four generative AI models (Perplexity, ChatGPT 4o, Microsoft Copilot, and Google Gemini) answered questions based on the 2023 CNS guidelines for Chiari 1 malformation, categorizing their responses as "concordant" or "non-concordant."
- Perplexity had the highest concordance rate at 69.2%, while ChatGPT had the lowest at 23.1%. All AI models had issues with over-conclusive answers and varying degrees of insufficient responses.
- Readability tests indicated all models produced complex and challenging responses, highlighting the need for caution in using AI for clinical decision-making due to their low alignment with established medical
Introduction: Pectoralis Minor (PM) length shortening may contribute to faulty scapular. kinematics and result in shoulder pathology.
Purpose: of the Study: To evaluate if a prone scapular retraction exercise will demonstrate an immediate lengthening of the pectoralis minor (PM) in healthy participants.
Infidelity is any behavior that breaks the implied agreement of exclusivity within a romantic relationship and is a leading cause of divorce. Previous literature has established a relationship between Adverse Childhood Experiences (ACEs) and infidelity perpetration. As experiencing childhood adversity does not guarantee an individual will engage in infidelity, mechanisms explaining this relationship should be explored.
View Article and Find Full Text PDFBackground: Intratumoral heterogeneity (ITH) and subclonal antigen expression blunt antitumor immunity and are associated with poor responses to immune-checkpoint blockade immunotherapy (ICB) in patients with cancer. The underlying mechanisms however thus far remained elusive, preventing the design of novel treatment approaches for patients with high ITH tumors.
Methods: We developed a mouse model of lung adenocarcinoma with defined expression of different neoantigens (NeoAg), enabling us to analyze how these impact antitumor T-cell immunity and to study underlying mechanisms.