This article is a summary of the technology issues and challenges of data-intensive science and cloud computing as discussed in the Data-Intensive Science (DIS) workshop in Seattle, September 19-20, 2010.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1089/omi.2011.0013 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Edge-Cloud Synergy for AI-Enhanced Sensor Network Data: A Real-Time Predictive Maintenance Framework.
Sensors (Basel)
December 2024
AI and Big Data Department, Endicott College, Woosong University, Daejeon 34606, Republic of Korea.
Sensor networks generate vast amounts of data in real-time, which challenges existing predictive maintenance frameworks due to high latency, energy consumption, and bandwidth requirements. This research addresses these limitations by proposing an edge-cloud hybrid framework, leveraging edge devices for immediate anomaly detection and cloud servers for in-depth failure prediction. A K-Nearest Neighbors (KNNs) model is deployed on edge devices to detect anomalies in real-time, reducing the need for continuous data transfer to the cloud.
View Article and Find Full Text PDFSNP rs6543176 is associated with extreme human longevity but increased risk for cancer.
Geroscience
January 2025
Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
Using whole-genome sequencing (WGS) might offer insights into rare genetic variants associated with healthy aging and extreme longevity (EL), potentially pointing to useful therapeutic targets. In this study, we conducted a genome-wide association study using WGS data from the Long Life Family Study and identified a novel longevity-associated variant rs6543176 in the SLC9A2 gene. This SNP also showed a significant association with reduced hypertension risk and an increased, though not statistically significant, cancer risk.
View Article and Find Full Text PDFNeonatal intensive care admissions and exposure to satellite-derived air pollutants in the United States, 2018.
Sci Rep
January 2025
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, 270 Farber Hall, Buffalo, NY, USA.
In the United States (US), neonatal intensive care units (NICUs) monitor and treat newborns for a variety of adverse health concerns including preterm status, respiratory distress and restricted growth. As such, NICU admission is an integrated measure of neonatal risk. We linked 2018 US national birth registry NICU admission data among singleton births with satellite and modelled air pollution levels for the month prior to birth to examine whether late-pregnancy exposure to ambient air pollutants is associated with adverse neonatal health outcomes.
View Article and Find Full Text PDFUnlocking the future of complex human diseases prediction: multi-omics risk score breakthrough.
Front Bioinform
December 2024
Department of Immunology and Molecular Biology, College of Health Sciences, School of Biomedical Sciences, Makerere University, Kampala, Uganda.
Newborn morbidities and care procedures at the special newborn care units of Gandaki Province, Nepal: a retrospective study.
BMC Pregnancy Childbirth
December 2024
Center for International Health, LMU, Munich, Germany.
Background: Despite recent improvements in the overall health status of Nepal's population, newborn morbidities and mortalities have remained a challenge. This study explores the situation and care strategies for newborn health problems in the Gandaki Province of Nepal.
Methods: This is a retrospective hospital records analysis.
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!