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http://dx.doi.org/10.1002/art.1780170613 | DOI Listing |
JMIR Res Protoc
January 2025
McMaster University, Hamilton, ON, Canada.
Background: Research has shown that engaging in a range of healthy lifestyles or behavioral factors can help reduce the risk of developing dementia. Improved knowledge of modifiable risk factors for dementia may help engage people to reduce their risk, with beneficial impacts on individual and public health. Moreover, many guidelines emphasize the importance of providing education and web-based resources for dementia prevention.
View Article and Find Full Text PDFJMIR Form Res
January 2025
Department of Computer Science, University of California, Irvine, Irvine, CA, United States.
Background: Acute pain management is critical in postoperative care, especially in vulnerable patient populations that may be unable to self-report pain levels effectively. Current methods of pain assessment often rely on subjective patient reports or behavioral pain observation tools, which can lead to inconsistencies in pain management. Multimodal pain assessment, integrating physiological and behavioral data, presents an opportunity to create more objective and accurate pain measurement systems.
View Article and Find Full Text PDFDeep venous thrombosis (DVT) has insidious clinical symptoms, and only a few patients suffer from lower limb swelling, tenderness and dorsal flexion pain. We aimed to explore the ultrasonographic features and risk factors of postoperative lower limb DVT in patients with lower limb fractures. Ninety patients with lower limb fractures admitted from January 1st, 2021 to June 30th, 2023 were selected.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
DWI─Leibniz Institute for Interactive Materials e.V., Forckenbeckstraße 50, Aachen 52074, Germany.
The global dental implant market is projected to reach $9.5 billion by 2032, growing at a 6.5% compound annual growth rate due to the rising prevalence of dental diseases.
View Article and Find Full Text PDFPLoS One
January 2025
School of Emergency Management, Institute of Disaster Prevention, Sanhe, Hebei, China.
With the increasing number of patients with Alzheimer's Disease (AD), the demand for early diagnosis and intervention is becoming increasingly urgent. The traditional detection methods for Alzheimer's disease mainly rely on clinical symptoms, biomarkers, and imaging examinations. However, these methods have limitations in the early detection of Alzheimer's disease, such as strong subjectivity in diagnostic criteria, high detection costs, and high misdiagnosis rates.
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