Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/SLA.0000000000003796 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[Application of artificial intelligence in parasitic diseases and parasitology].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China.
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers.
View Article and Find Full Text PDFClusters of Patient Empowerment and Mental Health Literacy Differentiate Professional Help-Seeking Attitudes in Online Mental Health Communities Users.
Health Expect
February 2025
Faculty of Communication, Culture and Society, Università della Svizzera italiana, Lugano, Switzerland.
Objectives: Grounded in the Health Empowerment Model, which posits that health literacy and patient empowerment are intertwined yet distinct constructs, this study investigates how the interplay of these factors influences attitudes toward seeking professional psychological help in members of online communities for mental health (OCMHs). This while acknowledging the multidimensionality of patient empowerment, encompassing meaningfulness, competence, self-determination, and impact.
Design And Methods: A cluster analysis of data gathered from 269 members of Italian-speaking OCMHs on Facebook has been performed.
Brain aging and rejuvenation at single-cell resolution.
Neuron
January 2025
Department of Genetics, Stanford University, Stanford, CA, USA; Glenn Center for the Biology of Aging, Stanford University, Stanford, CA, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA. Electronic address:
Brain aging leads to a decline in cognitive function and a concomitant increase in the susceptibility to neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. A key question is how changes within individual cells of the brain give rise to age-related dysfunction. Developments in single-cell "omics" technologies, such as single-cell transcriptomics, have facilitated high-dimensional profiling of individual cells.
View Article and Find Full Text PDFBuilt to remove carbon.
Science
January 2025
Center on Global Energy Policy, Columbia University, New York, NY, USA.
Building materials could facilitate long-term removal of atmospheric carbon dioxide.
View Article and Find Full Text PDFContent validation of an activity-based therapy tracking tool in a community setting for people living with spinal cord injury or disease using cognitive debriefing interviews.
PLoS One
January 2025
Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Background: Activity-based therapy (ABT) has shown promise as a viable therapeutic intervention to promote neurorecovery in people with spinal cord injury/disease (SCI/D). Tools that track the details of ABT sessions may facilitate the collection of data needed to inform best practice guidelines for ABT.
Objective: The purpose of this study was to evaluate the content validity of a prototype ABT tracking tool.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!