Reported Neurologic Manifestations Among Persons with Syphilis by Stage of Infection-12 States, 2019 -2022.

National case-based surveillance data show that reported neurologic manifestations of syphilis increased during 2019-2022 among persons with early and late-stage syphilis. Neurologic manifestations occurred across demographic groups and among those with and without HIV, highlighting the importance of evaluating for neurologic signs and symptoms in all persons with syphilis.

Advancing African American and hispanic health literacy with a bilingual, personalized, prevention smartphone application.

Many online health information sources are generic and difficult to understand, but consumers want information to be personalized and understandable. Smartphone health applications (apps) offer personalized information to support health goals and reduce preventable chronic conditions. This study aimed to determine how the personalized app (1) engaged English-speaking African American and Spanish-speaking Hispanic adults, and (2) motivated them to set goals and follow preventive recommendations.

Dysregulation of Airway and Systemic Interferon Responses Promote Asthma Exacerbations in Urban Children.

Background: Determining why some upper respiratory illnesses provoke asthma exacerbations remains an unmet need.

Objective: To identify transcriptome-wide gene expression changes associated with colds that progress to exacerbation.

Methods: 208 urban children (6-17 years) with exacerbation-prone asthma were prospectively monitored for up to two cold illnesses.

Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross-Sectional Investigation.

Purpose: Caregivers in pediatric oncology need accurate and understandable information about their child's condition, treatment, and side effects. This study assesses the performance of publicly accessible large language model (LLM)-supported tools in providing valuable and reliable information to caregivers of children with cancer.

Methods: In this cross-sectional study, we evaluated the performance of the four LLM-supported tools-ChatGPT (GPT-4), Google Bard (Gemini Pro), Microsoft Bing Chat, and Google SGE-against a set of frequently asked questions (FAQs) derived from the Children's Oncology Group Family Handbook and expert input (In total, 26 FAQs and 104 generated responses).