Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000386713 | DOI Listing |
JMIR Public Health Surveill
January 2025
School of Public Health, National Defense Medical Center, Taipei City, Taiwan.
Background: Japanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. It is currently unclear whether the epidemiological characteristics of the JEV have been affected by the extreme climatic conditions that have been observed in recent years.
Objective: This study aimed to examine the epidemiological characteristics, trends, and potential risk factors of JE in Taiwan from 2008 to 2020.
Int Ophthalmol
January 2025
Department of Ophthalmology, Rutgers New Jersey Medical School, Institute of Ophthalmology and Visual Science, Newark, NJ, USA.
Purpose: The purpose of this study is to analyze the trends and characteristics of ocular trauma research published from 2000 to 2022 to delineate the trajectory of the field's research, provide information about the network of key contributors, and help determine future research strategies and direction.
Methods: Web of Science was queried for published works using a series of keywords relating to ocular trauma: "globe rupture", "ruptured globe", "globe injury", "ocular trauma", "intraocular foreign body", "eye trauma", "eye injury", and "traumatic endophthalmitis". All article information was compiled using the VOSviewer software.
Purpose: The spine research within India has seen significant advancement, yet detailed examinations of its impact and evolution still need to be made sparse. To conduct a comprehensive scientometric review of the most frequently cited papers in Indian spine research from 1995 to 2024, aiming to map the field's evolution and its global impact.
Methods: Utilizing the Scopus database, a search was performed with keywords related to spine research, identifying 105 highly cited papers.
JMIR Mhealth Uhealth
January 2025
Institute for AI and Informatics in Medicine, Technical University of Munich, Munich, Germany.
Background: Artificial intelligence (AI) has already revolutionized the analysis of image, text, and tabular data, bringing significant advances across many medical sectors. Now, by combining with wearable inertial measurement units (IMUs), AI could transform health care again by opening new opportunities in patient care and medical research.
Objective: This systematic review aims to evaluate the integration of AI models with wearable IMUs in health care, identifying current applications, challenges, and future opportunities.
J Control Release
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen 361005, China. Electronic address:
Biomedical polymers are at the forefront of medical advancements, offering innovative solutions in disease prevention, diagnosis, treatment, and clinical use due to their exceptional physicochemical properties. This review delves into the characteristics, classification, and preparation methods of these polymers, highlighting their diverse applications in drug delivery, medical imaging, tissue engineering, and regenerative medicine. We present a thorough analysis of the recent advancements in biomedical polymer research and their clinical applications, acknowledging the challenges that remain, such as immune response management, controlled degradation rates, and mechanical property optimization.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!