Digital Health Technologies (DHTs) such as connected sensors offer particular promise for improving data collection and patient empowerment in neurology research and care. This study analyzed the recent evolution of the use of DHTs in trials registered on ClinicalTrials.gov for four chronic neurological disorders: epilepsy, multiple sclerosis, Alzheimer's, and Parkinson's disease. We document growth in the collection of both more established digital measures (e.g., motor function) and more novel digital measures (e.g., speech) over recent years, highlighting contexts of use and key trends.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918454 | PMC |
| http://dx.doi.org/10.1038/s41746-023-00767-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
FXa-Responsive Hydrogels to Craft Corneal Endothelial Lamellae.
Adv Healthc Mater
January 2025
Max Bergmann Center of Biomaterials Dresden, Leibniz-Institut für Polymerforschung Dresden e. V., Hohe Str. 6, 01069, Dresden, Germany.
Cell-instructive polymer hydrogels are instrumental in tissue engineering for regenerative therapies. Implementing defined and selective responsiveness to external stimuli is a persisting challenge that critically restricts their functionality. Addressing this challenge, this study introduces a versatile, modular hydrogel system composed of four-arm poly(ethylene glycol)(starPEG)-peptide and glycosaminoglycan(GAG)-maleimide conjugates.
View Article and Find Full Text PDFA customized convolutional neural network-based approach for weeds identification in cotton crops.
Front Plant Sci
January 2025
Information and Communication Engineering, Yeungnam University, Gyeongsan, Republic of Korea.
Smart farming is a hot research area for experts globally to fulfill the soaring demand for food. Automated approaches, based on convolutional neural networks (CNN), for crop disease identification, weed classification, and monitoring have substantially helped increase crop yields. Plant diseases and pests are posing a significant danger to the health of plants, thus causing a reduction in crop production.
View Article and Find Full Text PDFClinical Insights on My Acute Ischemic Stroke Caused by a Carotid Web.
Cureus
December 2024
Department of Pediatrics, Japanese Red Cross Wakayama Medical Center, Wakayama, JPN.
Acute ischemic stroke, a medical emergency caused by reduced cerebral blood flow, results in brain cell damage. While commonly associated with older individuals, strokes can also occur in young and middle-aged adults, posing significant socio-economic and health challenges due to the long-term impact of the condition. This poses significant socio-economic and health challenges because stroke is a leading cause of disability and mortality.
View Article and Find Full Text PDFEnhancing Ophthalmic Care: The Transformative Potential of Digital Twins in Healthcare.
Cureus
December 2024
Department of Ophthalmology, Broward Health, Fort Lauderdale, USA.
This literature review explores the emerging role of digital twin (DT) technology in ophthalmology, emphasizing its potential to revolutionize personalized medicine. DTs integrate diverse data sources, including genetic, environmental, and real-time patient data, to create dynamic, predictive models that enhance risk assessment, surgical planning, and postoperative care. The review highlights vital case studies demonstrating the application of DTs in improving the early detection and management of diseases such as glaucoma and age-related macular degeneration.
View Article and Find Full Text PDFLogistics Management Information System (LMIS) for Health Commodities at Public Health Facilities in Amhara National Regional State of Ethiopia: A Data Quality Evaluation Survey.
J Multidiscip Healthc
January 2025
Department of Pharmaceutics and Social Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia.
Introduction: Access to essential medicines is limited in developing countries mainly due to inefficiencies in health supply chain management, such as the absence of standard monitoring frameworks and poorly designed Logistics Management Information Systems (LMIS). Health supply chain managers need accurate and timely data for decision-making. However, routine health information systems suffer from poor data quality, reliance on paper-based reports, insufficient logistic formats, inadequate infrastructure, and limited human resources.
View Article and Find Full Text PDFWant 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!