Publications by authors named "S Watts"
Background: Antimicrobial resistance (AMR) is a multifaceted global challenge, partly driven by inappropriate antibiotic prescribing. The objectives of this study were to evaluate the impact of the COVID-19 pandemic on treatment of common infections, develop risk prediction models and examine the effects of antibiotics on infection-related hospital admissions.
Methods: With the approval of NHS England, we accessed electronic health records from The Phoenix Partnership (TPP) through OpenSAFELY platform.
The concordance between paraphilic interest and behavior is moderate to strong in previous studies. In the present study, we examined whether sexual excitation (SE) and sexual inhibition (SI) moderate the concordance between paraphilic interest and behavior, across several paraphilic themes. We expected that stronger concordance would be found at high levels of SE and weaker concordance would be found at high levels of SI, for both men and women.
View Article and Find Full Text PDFAims: The majority of studies of mental health interventions for young adolescents have only evaluated short-term benefits. This study evaluated the longer-term effectiveness of a non-specialist delivered group-based intervention (Early Adolescent Skills for Emotions; EASE) to improve young adolescents' mental health.
Methods: In this single-blind, parallel, controlled trial, Syrian refugees aged 10-14 years in Jordan who screened positive for psychological distress were randomised to receive either EASE or enhanced usual care (EUC).
Introduction: The 2024 Voice AI Symposium, hosted by the Bridge2AI-Voice Consortium in Tampa, FL, featured two keynote speeches that addressed the intersection of voice AI, healthcare, ethics, and law. Dr. Rupal Patel and Dr.
View Article and Find Full Text PDFArticle Synopsis
- The 2024 Voice AI Symposium gathered experts to discuss advancements in voice biomarkers and AI applications in healthcare through five educational workshops.
- Topics covered included international standardization, real-world AI deployment, assistive technologies, best practices for data collection, and deep learning applications in voice analysis.
- Key outcomes emphasized the need for unified standards, challenges in practical AI deployment, ethical considerations in data collection, and innovations in managing voice disorders using AI technology.