Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s40273-015-0274-y | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Low-Cost Strategies for the Development of Neurocritical Care in Resource-Limited Settings.
Neurocrit Care
January 2025
Division of Neurosurgery, Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil.
This review explores low-cost neurocritical care interventions for resource-limited settings, including economical devices, innovative care models, and disease-specific strategies. Devices like inexpensive ventilators, wearable technology, smartphone-based ultrasound, brain4care, transcranial Doppler, and smartphone pupillometry offer effective diagnostic and monitoring capabilities. Initiatives such as intermediate care units, minimally equipped stroke units, and tele-neurocritical care have demonstrated benefits by reducing hospital stays, preventing complications, and improving clinical and economic outcomes.
View Article and Find Full Text PDFDevelopment and validation of a county deprivation index for assessing socio-economic disparities in the United States: Implications for public health outcomes and mitigation strategies.
Public Health
January 2025
Department of Surgery, Brody School of Medicine at East Carolina University, Greenville, NC, USA.
Objective: To develop and validate a county deprivation index (CDI) that assesses socio-economic disparities and their impact on health outcomes at the county level.
Study Design: A retrospective, cross-sectional study using publicly available county-level data.
Methods: Hierarchical cluster analysis was used to group 18 county-level socio-economic indicators into three clusters: economic well-being and technical connectivity, socio-economic disadvantage and vulnerability, and housing affordability and quality of life.
Leveraging Network Target Theory for Efficient Prediction of Drug-Disease Interactions: A Transfer Learning Approach.
Adv Sci (Weinh)
January 2025
Department of Molecular Pharmacology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China.
Efficient virtual screening methods can expedite drug discovery and facilitate the development of innovative therapeutics. This study presents a novel transfer learning model based on network target theory, integrating deep learning techniques with diverse biological molecular networks to predict drug-disease interactions. By incorporating network techniques that leverage vast existing knowledge, the approach enables the extraction of more precise and informative drug features, resulting in the identification of 88,161 drug-disease interactions involving 7,940 drugs and 2,986 diseases.
View Article and Find Full Text PDFGastric cancer genomics study using reference human pangenomes.
Life Sci Alliance
April 2025
https://ror.org/0220qvk04 Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
A pangenome is the sum of the genetic information of all individuals in a species or a population. Genomics research has been gradually shifted to a paradigm using a pangenome as the reference. However, in disease genomics study, pangenome-based analysis is still in its infancy.
View Article and Find Full Text PDFCompositional brain scores capture Alzheimer's disease-specific structural brain patterns along the disease continuum.
Alzheimers Dement
January 2025
Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.
Introduction: Traditional multivariate methods for neuroimaging studies overlook the interdependent relationship between brain features. This study addresses this gap by analyzing relative brain volumetric patterns to capture how Alzheimer's disease (AD) and genetics influence brain structure along the disease continuum.
Methods: This study analyzed data from participants across the AD continuum from the Alzheimer's and Families (ALFA) and Alzheimer's Disease Neuroimaging Initiative (ADNI) studies.
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!