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http://dx.doi.org/10.1016/j.amjcard.2022.11.021 | DOI Listing |
JMIR Res Protoc
September 2025
Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Background: Various media are used to enhance public understanding about diseases. While mobile health apps are widely used, there is little proof for using such apps to raise awareness of skin diseases.
Objective: We intend to develop an app, called DEDIKASI-app, to raise awareness of skin diseases, including leprosy.
JMIR Res Protoc
September 2025
Institute of Higher Education and Research in Healthcare, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Background: In pediatric intensive care units, pain, sedation, delirium, and iatrogenic withdrawal syndrome (IWS) must be managed as interrelated conditions. Although clinical practice guidelines (CPGs) exist, new evidence needs to be incorporated, gaps in recommendations addressed, and recommendations adapted to the European context.
Objective: This protocol describes the development of the first patient- and family-informed European guideline for managing pain, sedation, delirium, and IWS by the European Society of Paediatric and Neonatal Intensive Care.
JAMA Pediatr
September 2025
Department of Pediatrics and Emergency Medicine, Children's National Hospital, George Washington University, Washington, DC.
Importance: Adolescents account for almost half of the 2.5 million diagnosed sexually transmitted infections in the US annually, and the emergency department functions as the primary source of health care for many adolescents. No recommendations exist for emergency department gonorrhea and chlamydia screening.
View Article and Find Full Text PDFClin Transl Sci
September 2025
Food and Drug Administration, Silver Spring, Maryland, USA.
Since the first decentralized clinical trial (DCT) was conducted in 2011, there has been an increased usage of DCT due to its benefits of patient-centricity and generalizability of findings. This trend was further expedited by the global COVID-19 pandemic. We identified 23 case studies across various therapeutic areas and grouped them into different categories according to their purposes-by necessity, for operational benefits, to address unique research questions, to validate innovative digital endpoints, or to validate decentralization as a clinical research platform.
View Article and Find Full Text PDFNutr Health
September 2025
Independent researcher, Rome, Italy.
Artificial intelligence (AI) is increasingly applied in nutrition science to support clinical decision-making, prevent diet-related diseases such as obesity and type 2 diabetes, and improve nutrition care in both preventive and therapeutic settings. By analyzing diverse datasets, AI systems can support highly individualized nutritional guidance. We focus on machine learning applications and image recognition tools for dietary assessment and meal planning, highlighting their potential to enhance patient engagement and adherence through mobile apps and real-time feedback.
View Article and Find Full Text PDF